READING ASSIGNMENT

Please select among the following files. Each item is followed by its BIBTEX entry.

    PERCEPTION

  1. fletcherWatson-collis-09_change-blindness-development-attention-in-vision.pdf

    
    @article{fletcherWatson-collis-09_change-blindness-development-attention-in-vision,
      title =	 {The development of change blindness: children's
                      attentional priorities whilst viewing naturalistic scenes},
      author =	 {Fletcher-Watson, S. and Collis, JM and Findlay, JM and
                      Leekam, SR},
      journal =	 {Developmental Science},
      volume =	 {12},
      number =	 {3},
      pages =	 {438--445},
      year =	 {2009},
      publisher =	 {John Wiley \& Sons},
      annote = { 
    
        gives flicker-based change-blindness tests to children and adults, to test
        The development of resistance to change-blindness in simple (semantically
        meaningful change) situations. - AM
    
    ABSTRACT: Change blindness describes the surprising
     difficulty of detecting large changes in visual scenes when changes occur
     during a visual disruption. In order to study the developmental course of
     this phenomenon, a modified version of the flicker paradigm, based on
     Rensink, O’Regan & Clark (1997), was given to three groups of children aged
     6–12 years and to a group of adults.  This paradigm tested the ability to
     detect single colour, presence/absence and location changes of both high and
     low semantic importance in a complex scene. Semantically important changes
     were detected more quickly and accurately than less semantically important
     changes, by all age groups, indicating that children had the same
     attentional priorities as adults. Older children achieved more efficient and
     accurate detection of changes than younger children and reached almost adult
     level at 10–12 years old. These improvements parallel age-related
     developments in attention and visual perception.  } }
    
    
  2. herwig-beisert-10_working-memory-and-attention-saccadic-evidence

    
    @article{herwig-beisert-10_working-memory-and-attention-saccadic-evidence,
      title={On the spatial interaction of visual working memory and attention: Evidence for a global effect from memory-guided saccades},
      author={Herwig, A. and Beisert, M. and Schneider, W.X.},
      journal={Journal of Vision},
      volume={10},
      number={5},
      year={2010},
      publisher={Association for Research in Vision and Ophthalmology},
      abstract = {
    
    Recent work indicates that covert visual attention and eye movements on the
    one hand, and covert visual attention and visual working memory on the other
    hand are closely interrelated. Two experiments address the question whether
    all three processes draw on the same spatial representations. Participants
    had to memorize a target location for a subsequent memory-guided
    saccade. During the memory interval, task-irrelevant distractors were briefly
    flashed on some trials either near or remote to the memory target. Results
    showed that the previously flashed distractors attract the saccade's landing
    position. However, attraction was only found, if the distractor was presented
    within a sector of ±20° around the target axis, but not if the distractor was
    presented outside this sector. This effect strongly resembles the global
    effect in which saccades are directed to intermediate locations between a
    target and a simultaneously presented neighboring distractor stimulus. It is
    argued that covert visual attention, eye movements, and visual working memory
    recruit the same spatial mechanisms that can probably be ascribed to
    attentional priority maps.
    
    }}
    
    
  3. Please find file (try google scholar)

    @article{todd2010perception,
      title={The perception of 3D shape from texture based on directional width gradients},
      author={Todd, J.T. and Thaler, L.},
      journal={Journal of Vision},
      volume={10},
      number={5},
      year={2010},
      publisher={Association for Research in Vision and Ophthalmology}
      annote = {
    
    simulated textured 3D shapes are shown to subjects, who mark the local
    maximas and minimas of depth along a scan line.   two models of 3d
    reconstruction are compared, and it is shown that the more correct one was
    adopted by the users.  - AM
    
    [IDEA: Can be easily duplicated]
    
    ABSTRACT: A new computational analysis is described that is capable of estimating the
    3D shapes of continuously curved surfaces with anisotropic textures that are
    viewed with negligible perspective. This analysis assumes that the surface
    texture is homogeneous, and it makes specific predictions about how the
    apparent shape of a surface should be distorted in cases where that
    assumption is violated. Two psychophysical experiments are reported in an
    effort to test those predictions, and the results confirm that observers’
    ordinal shape judgments are consistent with what would be expected based on
    the model. The limitations of this analysis are also considered, and a
    complimentary model is discussed that is only appropriate for surfaces viewed
    with large amounts of perspective.
    
    }}
    
    
  4. Please find file (try google scholar)

    @article{harrison-backus-10_necker-cube-disambiguation,
      title={Disambiguating Necker cube rotation using a location cue: What types of spatial location signal can the visual system learn?},
      author={Harrison, S. and Backus, B.},
      journal={Journal of Vision},
      volume={10},
      number={6},
      year={2010},
      publisher={Association for Research in Vision and Ophthalmology}
      abstract = {
    
    [Can we explain this model computationally?]
    
    The direction of rotation of a wire-frame (Necker) cube, which is
    perceptually bistable, can be trained to depend on stimulus location
    (Q. Haijiang, J. A. Saunders, R. W. Stone, & B. T. Backus, 2006). However, it
    is not known which aspects of “location” are important to this learning. We
    therefore explored “location” in a series of experiments that separately
    assessed testing venue, location relative to the observer, and location in
    the retinal image as types of location signal that could potentially be
    recruited by the visual system. Subjects were trained using wire-frame cubes
    with rotation direction disambiguated by depth cues. Training cubes were
    presented at two locations, rotating in opposite directions. On interleaved
    test trials, ambiguous monocular cubes were presented at the same two
    locations. The extent to which test cubes were perceived to rotate according
    to the trained location–rotation contingency was our measure of location-cue
    recruitment. We found that only retinal position was recruited as a cue for
    apparent rotation direction. Furthermore, the learned retinal location cue
    was robust to ocular transfer. Our findings are consistent with a relatively
    low-level site of learning, such as MT.
    
    }}
    
    
  5. nieman-sheth-shimojo-10_perceiving-discontinuity-in-motion

    
    @article{nieman-sheth-shimojo-10_perceiving-discontinuity-in-motion,
      title={Perceiving a discontinuity in motion},
      author={Nieman, D. and Sheth, B.R. and Shimojo, S.},
      journal={Journal of Vision},
      volume={10},
      number={6},
      year={2010},
      publisher={Association for Research in Vision and Ophthalmology}
    
    }
    
    
  6. ghose-palmer-10_extremal-edge-principles-of-figure-ground-organization.pdf

    
    @article{ghose-palmer-10_extremal-edge-principles-of-figure-ground-organization,
      title={Extremal edges versus other principles of figure-ground organization},
      author={Ghose, T. and Palmer, S.E.},
      journal={Journal of Vision},
      volume={10},
      number={8},
      year={2010},
      publisher={Association for Research in Vision and Ophthalmology},
      abstract = {
    
    [computational simulation of extremal edges? ]
    
    Identifying the visual cues that determine 
    figure-ground organization [as depth change] is a central problem of vision
    science. In this paper, we compare flat cues to figure-ground organization
    with the recently discovered cue of extremal edges (EEs), which arise when
    opaque convex surfaces smoothly curve to partly occlude themselves. The
    present results show that EEs are very powerful pictorial cues to relative
    depth across an edge, almost entirely dominating the well-known figure-ground
    cues of relative size, convexity, shape familiarity, and
    surroundedness. These results demonstrate that natural shading and texture
    gradients in an image provide important information about figure-ground
    organization that has largely been overlooked in the past 75 years of
    research on this topic.
    
    }}
    
    
  7. pinto-10_more-often-the--object-easier-to-track.pdf

    @article{pinto-10_more-often-the--object-easier-to-track ,
      author={Yair Pinto and Piers D. L. Howe and Michael A. Cohen and Todd S. Horowitz},
      title={The more often you see an object, the easier it becomes to track it},
      journal={Journal of Vision},
      volume={10},
      number={8},
      year={2010},
      annote = {
    
    Can be explained in terms of better modeling of the repeatedly seen object.
    The model may consist of patches (SIFT-like) which are pre-identified for the
    class of objects being considered. 
    
    Apply to the tracking problem?  - AM
    
    ABSTRACT: 
    
    Is it easier to track objects that you have seen repeatedly? We compared
    repeated blocks, where identities were the same from trial to trial, to
    unrepeated blocks, where identities varied. People were better in tracking
    objects that they saw repeatedly. We tested four hypotheses to explain this
    repetition benefit. First, perhaps the repeated condition benefits from
    consistent mapping of identities to target and distractor roles. However, the
    repetition benefit persisted even when both the repeated and the unrepeated
    conditions used consistent mapping. Second, repetition might improve the
    ability to recover targets that have been lost, or swapped with
    distractors. However, we observed a larger repetition benefit for color–color
    conjunctions, which do not benefit from such error recovery processes, than
    for unique features, which do. Furthermore, a repetition benefit was observed
    even in the absence of distractors. Third, perhaps repetition frees up
    resources by reducing memory load. However, increasing memory load by masking
    identities during the motion phase reduced the repetition benefit. The fourth
    hypothesis is that repetition facilitates identity tracking, which in turn
    improves location tracking. This hypothesis is consistent with all our
    results. Thus, our data suggest that identity and location tracking share a
    common resource.
    
    }}
    
    
  8. thomas-mareschal-10_light-from-above-convexity-priors-development.pdf

    
    @article{thomas-mareschal-10_light-from-above-convexity-priors-development,
      title={Interactions between “light-from-above” and convexity priors in visual development},
      author={Thomas, R. and Nardini, M. and Mareschal, D.},
      journal={Journal of Vision},
      volume={10},
      number={8},
      year={2010},
      publisher={Association for Research in Vision and Ophthalmology}
      abstract = {
    
    Having a prior assumption about where light originates can disambiguate
    perceptual scenarios. Previous studies have reported that adult observers use
    a “light-from-above” prior as well as a convexity prior to constrain
    perception of shape from shading. Such priors may reflect information
    acquired about the visual world, where objects tend to be convex and light
    tends to come from above. In the current study, 4- to 12-year-olds and adults
    made convex/concave judgements for a shaded “polo mint” stimulus. Their
    judgments indicated an interaction between a “light-from-above” prior and a
    convexity prior that changed over the course of development. Overall,
    observers preferred to interpret the stimulus as lit from above and as mostly
    convex. However, when these assumptions conflicted, younger children assumed
    convexity, whereas older groups assumed a light from above. These results
    show that both priors develop early but are reweighted during childhood. A
    convexity prior dominates initially, while a “light-from-above” prior
    dominates later and in adulthood. This may be because convexity can be judged
    relative to the body, whereas judging the direction of light in the world
    requires the use of an external frame of reference.
    
    }}
    
    
  9. nuthmann-henderson-10_object-based attentional selection.pdf

    
    @article{nuthmann-henderson-10_object-based attentional selection,
      title={Object-based attentional selection in scene viewing},
      author={Nuthmann, A. and Henderson, J.M.},
      journal={Journal of Vision},
      volume={10},
      number={8},
      year={2010},
      publisher={Association for Research in Vision and Ophthalmology}
      annote= {
    
    how to build object-centred attention models in general scenes?  or for fixed
    axis rotating cameras? 
    CITE?? 
    
    Two contrasting views of visual attention in scenes are the visual salience
    and the cognitive relevance hypotheses. They fundamentally differ in their
    conceptualization of the visuospatial representation over which attention is
    directed. According to the saliency model, this representation is
    image-based, while the cognitive relevance framework advocates an
    object-based representation. Previous research has shown that (1) viewers
    prefer to look at objects over background and that (2) the saliency model
    predicts human fixation locations significantly better than chance. However,
    it could be that saliency mainly acts through objects. To test this
    hypothesis, we investigated where people fixate within real objects and
    saliency proto-objects. To this end, we recorded eye movements of human
    observers while they inspected photographs of natural scenes under different
    task instructions. We found a preferred viewing location (PVL) close to the
    center of objects within naturalistic scenes. Compared to the PVL for real
    objects, there was less evidence for a PVL for human fixations within
    saliency proto-objects. There was no evidence for a PVL when only saliency
    proto-objects that did not spatially overlap with annotated real objects were
    analyzed. The results suggest that saccade targeting and, by inference,
    attentional selection in scenes is object-based.
    
    }}
    
    
  10. kandil-rotter-10_car-drivers-attention-on-closed-vs-open-bends.pdf

    
    @article{kandil-rotter-10_car-drivers-attention-on-closed-vs-open-bends,
      title={Car drivers attend to different gaze targets when negotiating closed vs. open bends},
      author={Kandil, F.I. and Rotter, A. and Lappe, M.},
      journal={Journal of Vision},
      volume={10},
      number={4},
      year={2010},
      publisher={Association for Research in Vision and Ophthalmology}
      annote = {
    
    see image:
    http://www.journalofvision.org/content/10/4/24/embed/icon-1.gif
    
    On winding roads, car drivers have to control speed and steering angle in
    order to keep the car in an optimal lane position.  Among the strategies
    proposed for steering regulation are the use of the tangent point, a
    geometrical method, and gaze sampling, in which retinal flow lines obtained
    by tracking a spot on the future road need to be assessed. Previous studies
    used a variety of scenarios (real-road vs. simulator) and different road
    designs (closed vs. open bends, different curvatures) and found results
    speaking in favor of either strategy. Here, we investigate what effects the
    openness of the bend, i.e. the sight distance of the driver, has on the
    percentage with which drivers use the tangent point. Six drivers drove a test
    car repeatedly through a series of twelve bends on real roads while their
    eye-movements were recorded. Results show that the reliance on the tangent
    point is generally high and increases with the closedness (shorter sight
    distances) of the bend and higher curvature. In open bends they alternatively
    look far into the straight road segments adjacent to the bend, but do not use
    gaze sampling.
    
    }}
    
    
    
  11. Please find file (try google scholar)

    
    @article{lee2010comparison,
      title={A comparison of global motion perception using a multiple-aperture stimulus},
      author={Lee, A.L.F. and Lu, H.},
      journal={Journal of Vision},
      volume={10},
      number={4},
      year={2010},
      annote = {
    
    the visual system is more sensitive to circular or radial motion than
    translation.   Should be possible to duplicate?  - AM
    
    ABSTRACT
    The human visual system integrates local motion signals to generate globally
    coherent motion percepts. However, it is unclear whether the perception of
    different types of global motion relies on a common motion integration
    mechanism.  Using the multiple-aperture stimulus developed by K. Amano,
    M. Edwards, D. R. Badcock, and S. Nishida (2009), we compared the motion
    sensitivity (in terms of coherence threshold) for translational, circular,
    and radial motion. We found greater motion sensitivity for the two complex
    (circular and radial) motion types than for translational motion, implying
    that specific motion integration mechanisms are involved in the computation
    for different motion types. Our results reveal a “complexity advantage” in
    perceiving motion, which is consistent with physiological and computational
    evidence suggesting that specific mechanisms exist for processing complex
    circular/radial motion. We further examined the contributions of several
    critical factors that influence human global motion sensitivity. We found
    that human sensitivity for all motion types remained constant across a range
    of motion sampling density but varied depending on global speed. The minimum
    stimulus duration required for observers to reach constant sensitivity was
    found to be short (È140 ms) for all motion types.
    
    }}
    
    
  12. treder-meulenbroek-10_moving-dot-figures-w-symmetry}}.pdf

    
    @article{treder-meulenbroek-10_moving-dot-figures-w-symmetry}},
      title={Integration of structure-from-motion and symmetry during surface perception},
      author={Treder, M.S. and Meulenbroek, R.G.J.},
      journal={Journal of },
      volume={10},
      number={4},
      year={2010},
      publisher={Association for Research in Vision and Ophthalmology}
      annote = {
    
    moving dot patterns with symmetry (ambiguous?) induce novel 3D shapes.  
    what would the "form cues" be - surface continuity?  - AM
    
    image:
    http://www.journalofvision.org/content/10/4/5/embed/icon-1.gif
    
    ABSTRACT: 
    Sinusoidal motion of elements in a random-dot pattern can elicit a striking
    percept of a rotating volume, a phenomenon known as structure-from-motion
    (SFM). We demonstrate that if the dots defining the volume are 2D
    mirror-symmetric, novel 3D interpretations arise. In addition to the
    classical rotating cylinder, one can perceive mirror-symmetric, flexible
    surfaces bending along the path of movement. In three experiments, we
    measured the perceptual durations of the different interpretations in a
    voluntary control task. The results suggest that motion signals and symmetry
    signals are integrated during surface interpolation. Furthermore, the
    competition between the rotating cylinder percept and the symmetric surfaces
    percept is resolved at the level of surface perception rather than at the
    level of individual stimulus elements. Concluding, structure-from-motion is
    an interactive process that incorporates not only motion cues but also form
    cues. The neurofunctional implication of this is that surface interpolation
    is not fully completed in its designated neural “engine,” MT/V5, but rather
    in a higher tier area such as LOC, which receives input from MT/V5 and which
    is also involved in symmetry detection.
    
    }}
    
    
    
  13. cavanagh-2010trics_visual-stability-attention.pdf

    
    @article{cavanagh-2010trics_visual-stability-attention,
      title={Visual stability based on remapping of attention pointers},
      author={Patrick Cavanagh and Amelia R. Hunt and Arash Afraz and Martin Rolfs},
      journal={Trends in Cognitive Sciences},
      year={2010},
      publisher={Elsevier}
      pages ={147-153},
    }
    
    
  14. gottlieb-balan-2010trics_attention-as-decision.pdf

    
    @article{gottlieb-balan-2010trics_attention-as-decision,
      title={Attention as a decision in information space},
      author={Jacqueline Gottlieb and Puiu Balan},
      journal={Trends in Cognitive Sciences},
      year={2010},
      publisher={Elsevier}
      pages = {240-248},
    }
    
    
    
  15. pereira-smith-09_visual-recognition-change-18-to-24mos.pdf

    
    @article{pereira-smith-09_visual-recognition-change-18-to-24mos,
      title={Developmental changes in visual object recognition between 18 and 24 months of age},
      author={Alfredo F. Pereira and Linda B. Smith},
      journal={Developmental Science},
      volume={12},
      number={1},
      pages={67--80},
      year={2009},
    
    afpereir@indiana.edu
    
    ABSTRACT
    
    Two experiments examined developmental changes in children's visual
    recognition of common objects during the period of 18 to 24
    months. Experiment 1 examined children's ability to recognize common category
    instances that presented three different kinds of information: (1) richly
    detailed and prototypical instances that presented both local and global
    shape information, color, textural and featural information, (2) the same
    rich and prototypical shapes but no color, texture or surface featural
    information, or (3) that presented only abstract and global representations
    of object shape in terms of geometric volumes. Significant developmental
    differences were observed only for the abstract shape representations in
    terms of geometric volumes, the kind of shape representation that has been
    hypothesized to underlie mature object recognition. Further, these
    differences were strongly linked in individual children to the number of
    object names in their productive vocabulary. Experiment 2 replicated these
    results and showed further that the less advanced children's object
    recognition was based on the piecemeal use of individual features and parts,
    rather than overall shape. The results provide further evidence for
    significant and rapid developmental changes in object recognition during the
    same period children first learn object names. The implications of the
    results for theories of visual object recognition, the relation of object
    recognition to category learning, and underlying developmental processes are
    discussed. 
    
    }}
    

    ==== LANGUAGE ====

  16. friederici-09_pathways-to-language-fiber-tracts-in-the-human-brain.pdf

    
    @article{friederici-09_pathways-to-language-fiber-tracts-in-the-human-brain,
      title={Pathways to language: fiber tracts in the human brain},
      author={Friederici, A.D.},
      journal={Trends in cognitive sciences},
      volume={13},
      number={4},
      pages={175--181},
      year={2009},
      publisher={Elsevier}
      annote = {
    
    reviews the structures in the brain - not only the brocas area (temporal
    lobe) and other areas (frontal lobe) - but some role may be played also by
    pathways connecting these, which are not very prominent in non-human
    primates, and are less developed in children. - AM
    
    ABSTRACT:
    The human language function is not only based on the grey matter of
    circumscribed brain regions in the frontal and the temporal cortex but
    moreover on the white matter fiber tracts connecting these regions. Different
    pathways connecting frontal and temporal cortex have been identified. The
    dorsal pathway projecting from the posterior portion of Broca’s area to the
    superior temporal region seems to be of particular importance for
    higher-order language functions. This pathway is particularly weak in
    non-human compared to human primates and in children compared to adults. It
    is therefore considered to be crucial for the evolution of human language,
    which is characterized by the ability to process syntactically complex
    sentences.
    
    }}
    
    
  17. borensztajn-zuidema-bod-09cogsci_parsing-neural-theory-of-grammar-acquisition.pdf

    
    @conference{borensztajn-zuidema-bod-09cogsci_parsing-neural-theory-of-grammar-acquisition,
      title =	 {The hierarchical prediction network: towards a neural
                      theory of grammar acquisition},
      author =	 {Borensztajn, G. and Zuidema, W. and Bod, R.},
      booktitle =	 {Proc. of the 31th Annual Meeting of the Cognitive Science
                      Society},
      year =	 {2009},
      annote =	 { 
    
    Extends normal neural network structures by allowing a substitution operation between the nodes.  
    
    demonstrates grammar learning on an artificial language generated by a PCFG,
    but more interestingly, on a subset of the Eve data in CHILDES, a large
    corpus of the first utterances by many children over the years.  The result
    of this analysis is a set of associations, it seems, of words that are likely
    to be in similar categories (?maybe) - AM
    
    borensztajn-zuidema-bod-09cogsci_parsing-neural-theory-of-grammar-acquisition.pdf
    
    ... biologically inspired computational framework for language processing and
    grammar acquisition, called the hierarchical prediction network
    (HPN). extends power of connectionist networks by allowing for a substitution
    operation between the nodes of the network. This, and its hierarchical
    architecture, enable HPN to function as a full syntactic parser, able to
    emulate context free grammars without necessarily employing a discrete notion
    of categories. Rather, HPN maintains a graded and topological representation
    of categories, which can be incrementally learned in an unsupervised
    manner. We argue that the formation of topologies, that occurs in the
    learning process of HPN, offers a neurally plausible explanation for the
    categorization and abstraction process in general. We apply HPN to the task
    of semi-supervised ‘grammar induction’ from bracketed sentences, and
    demonstrate how a topological arrangement of lexical and phrasal category
    representations successfully emerges
    
    distinguishes from the main ANN based approach to grammar - Elman's simple
    recuurent network (SRN) and variants.
    
    Hawkins, J., & Blakeslee, S. (2004). On intelligence. New York: Henry
    Holt and Company
    }}
    
    
  18. vidyasagar-pammer-10_dyslexia-is-a-deficit-in-visual-attention-not-phonology.pdf

    
    @article{vidyasagar-pammer-10_dyslexia-is-a-deficit-in-visual-attention-not-phonology,
      title={Dyslexia: a deficit in visuo-spatial attention, not in phonological processing},
      author={Vidyasagar, T.R. and Pammer, K.},
      journal={Trends in cognitive sciences},
      year={2010},
      publisher={Elsevier}
      pages = {57-63},
    
    }
    
    
  19. arunachalam-waxman-10_language-and-conceptual-development.pdf

    
    @article{arunachalam-waxman-10_language-and-conceptual-development,
      title={Language and conceptual development},
      author={Arunachalam, S. and Waxman, S.R.},
      journal={Wiley Interdisciplinary Reviews: Cognitive Science},
      publisher={John Wiley \& Sons}
      year = 2010,
      page = {548–558},
      annote = {
    
    ABSTRACT
    
    Linguistic and conceptual development converge crucially in the process of early
    word learning. Acquiring a new word requires the child to identify a conceptual
    unit, identify a linguistic unit, and establish a mapping between them. On the
    conceptual side, the child has to not only identify the relevant part of the scene
    being labeled, but also isolate a concept at the correct level of abstraction—the
    word ‘dog’ must be mapped to the concept dog and not to the concepts petting or
    collie, for example. On the linguistic side, the child must use the syntactic context
    in which the word appears to determine its grammatical category (e.g., noun, verb,
    adjective). But she also uses syntactic information, along with observation of the
    world and social-communicative cues, to make guesses at which concept the word
    picks out as well as its level of abstraction. Wepresent evidence that young learners
    learn new words rapidly and extend them appropriately. However, the relative
    import of observational and linguistic cues varies as a function of the kind of word
    being acquired, with verbs requiring a richer set of conceptual and linguistic cues
    than nouns.
    
    }
    
    
    
  20. bunger-08_how-we-learn-event-verbs-conceptual-constraints.pdf

    
    @article{bunger-08_how-we-learn-event-verbs-conceptual-constraints,
      title={How we learn to talk about events: Linguistic and conceptual constraints on verb learning},
      author={Bunger, A.},
      journal={Language Acquisition},
      volume={15},
      number={1},
      pages={69--71},
      year={2008},
      publisher={Psychology Press}
    }
    
    
  21. ma-golinkoff-08_imageability-chinese-verbs.pdf

    
    @article{ma-golinkoff-08_imageability-chinese-verbs,
      title={Imageability predicts the age of acquisition of verbs in Chinese children},
      author={Ma, W. and Golinkoff, R.M. and Hirsh-Pasek, K. and McDonough, C. and Tardif, T.},
      journal={Journal of child language},
      volume={36},
      number={02},
      pages={405--423},
      year={2008},
      publisher={Cambridge Univ Press}
      annote = {
    
    Uses a measure called "imageability" to compare the learnability of verbs. 
    imageability = ability of a word to produce a mental image. 
    words that are more "imageable" are seen to be easier to learn, in terms of
    age of acquisition.  
    
    Chinese adults rated the imageability of Chinese words from the Chinese
    Communicative Development Inventory (Tardif et al., in press).  Imageability
    ratings were a reliable predictor of age of acquisition in Chinese for both
    nouns and verbs. Furthermore, whereas early Chinese and English nouns do NOT
    differ in imageability, verbs receive higher imageability ratings in Chinese
    than in English. Compared with input frequency, imageability independently
    accounts for a portion of the variance in age of acquisition (AoA) of verb
    learning in Chinese and English.
    
    }}
    
    
    
  22. christophe-bernal-08_bootstrapping-lexical-syntactic-acquisition.pdf

    
    @article{christophe-bernal-08_bootstrapping-lexical-syntactic-acquisition,
      title={Bootstrapping lexical and syntactic acquisition},
      author={Christophe, A. and Millotte, S. and Bernal, S. and Lidz, J.},
      journal={Language and Speech},
      volume={51},
      number={1-2},
      pages={61},
      year={2008}
    
    focuses on how phrasal prosody and function words may interact during early
    language acquisition. Experimental results show that infants have access to
    intermediate prosodic phrases (phonological phrases) during the first year of
    life, and use these to constrain lexical segmentation. These same
    intermediate prosodic phrases are used by adults to constrain on-line
    syntactic analysis. In addition, by two years of age infants can exploit
    function words to infer the syntactic category of unknown content words
    (nouns vs. verbs) and guess their plausible meaning (object vs. action). We
    speculate on how infants may build a partial syntactic structure by relying
    on both phonological phrase boundaries and function words, and present adult
    results that test the plausibility of this hypothesis. These results are tied
    together within a model of the architecture of the first stages of language
    processing, and their acquisition.
    
    }}
    
    
  23. chemla-mintz-bernal-09_devSci_frequent-frames-lang-acquisition.pdf

    
    @article{chemla-mintz-bernal-09_devSci_frequent-frames-lang-acquisition,
      title={Categorizing words using 'frequent frames': what cross-linguistic analyses reveal about distributional acquisition strategies},
      author={Chemla, E. and Mintz, T.H. and Bernal, S. and Christophe, A.},
      journal={Developmental Science},
      volume={12},
      number={3},
      pages={396--406},
      year={2009},
      annote = {
    
    --- TALK Jul 3 Bungehuis
    Toben Mintz (University of Southern California)
    Categorizing Words from Patterns in the Linguistic Input 
    
    Considers 3-grams as models in which a child learns the middle word (target)
    from other two. 
    
    Lexical frames - target word in the middle is constrained by words on both
    sides.  works well for french / english, poorly for Turkish. 
    
    This is because Turkish is highly inflected, and word order is not as
    important.  
    
    In Turkish - morpheme order 
    
    Ekinin uykusumu geldi
    Ekin-GEN uyku-POSS gel-PAST
    
    GEN-POSS - is a frequent frame - 5:2 to others
    
    morpheme order results in much better accuracy compared to chance. 
    
    interestingly, the previous morpheme is connected to the previous word and
    not the following word; so 3-word order may not be as useful. 
    
    running a bi-gram analysis - accuracy falls; so the previous morpheme is
    informative. 
    
    90% of the frames are accounted for by the top four categories
    
    english e.g. --> [We eat the] cheese sandwich
    
    ABSTRACT (talk):
    Grammatical categories such as noun, verb, adjective, etc., are the building
    blocks of syntactic structure. A crucial question in language acquisition
    research is how learners initially group words into categories. One
    possibility that has gained empirical support is that learners attend to
    distributional information--co-occurrence patterns of words and bound
    morphemes--categorizing words together that occur in similar environments
    (e.g., words that occur after "the" and "a", etc.).  In my lab we have been
    studying distributional patterns in child-directed speech and have discovered
    a particular kind of distributional pattern, called a frequent frame, that
    categorizes words very accurately.  I will present a series of computational
    analyses of typologically distinct languages that demonstrate the
    informativeness of frequent frames cross-linguistically.  I will also discuss
    behavioral studies with adults and infants suggesting that learners use
    frequent frames to categorize words.
    
    Finally, I will discuss findings from preliminary investigations into why
    frequent frames are efficient categorizing environments.
    
    ---
    Abstract
    
    Mintz (2003) described a distributional environment called a frame, defined
    as the co-occurrence of two context words with one intervening target
    word. Analyses of English child-directed speech showed that words that fell
    within any frequently occurring frame consistently belonged to the same
    grammatical category (e.g. noun, verb, adjective, etc.). In this paper, we
    first generalize this result to French, a language in which the function word
    system allows patterns that are potentially detrimental to a framebased
    analysis procedure. Second, we show that the discontinuity of the chosen
    environments (i.e. the fact that target words are framed by the context
    words) is crucial for the mechanism to be efficient. This property might be
    relevant for any computational approach to grammatical
    categorization. Finally, we investigate a recursive application of the
    procedure and observe that the categorization is paradoxically worse when
    context elements are categories rather than actual lexical
    items. Item-specificity is thus also a core computational principle for this
    type of algorithm. Our analysis, along with results from behavioural studies
    (Gómez, 2002; Gómez and Maye, 2005; Mintz, 2006), provides strong support for
    frames as a basis for the acquisition of grammatical categories by
    infants. Discontinuity and item-specificity appear to be crucial features.
    
    }}
    
    
  24. mcmurray-hollich-09_statistical-learning-lang-acquisition.pdf

    
    @article{mcmurray-hollich-09_statistical-learning-lang-acquisition,
      title={Core computational principles of language acquisition: can statistical learning do the job? Introduction to Special Section},
      author={McMurray, B. and Hollich, G.},
      journal={Developmental Science},
      volume={12},
      number={3},
      pages={365--368},
      year={2009},
    
    }}
    
    
  25. Please find file (try google scholar)

    
    @conference{wang-mintz-07_categorizing-words-using-frames,
      title={A Dynamic Learning Model for Categorizing Words Using Frames},
      author={Wang, H. and Mintz, T.H.},
      booktitle={Proceedings of BUCLD},
      volume={32},
      pages={525--536},
      year={2007}
    
    }
    
    
  26. Please find file (try google scholar)

    
    @article{bernal-07_syntax-constrains-acquisition-of-verb-meaning,
      title={Syntax constrains the acquisition of verb meaning},
      author={Bernal, S. and Lidz, J. and Millotte, S. and Christophe, A.},
      journal={Language Learning and Development},
      volume={3},
      number={4},
      pages={325--341},
      year={2007},
      publisher={Psychology Press}
    
    ABSTRACT:
    Can infants use the syntactic context of an unknown word to infer that it is a verb, and
    thus refers to an action? 23-month-old French infants watching a moving object were taught
    novel verbs, within sentences that contained only function words (“il poune par là” / “it’s
    pooning there”). Infants then watched two instances of the object undergoing either the
    familiar or a novel action and were asked to point towards the screen matching the novel verb.
    Infants correctly pointed more often towards the familiar action. To check that they did not
    simply perseverate in pointing at the familiar scene, control infants were taught novel nouns
    on the same visual stimuli (“un poune est là”/ “a poon is here”). Contrary to verb-learning
    infants, noun-learning infants pointed more often to the novel action. These results confirm
    the hypothesis that function words, and more generally syntactic structure, support early
    lexical acquisition.
    
    }}
    
    
  27. Please find file (try google scholar)

    
    @article{tenenbaum2009fragment,
      title={Fragment Grammars: Exploring Computation and Reuse in Language},
      author={Timothy J. O’Donnell  and Noah D. Goodman and Joshua B. Tenenbaum},
      journal={MIT-CSAIL-TR-2009-013},
      year={2009}
      email = {timo@wjh.harvard.edu},
    
    Language relies on a division of labor between stored units and structure
    building operations which combine the stored units into larger structures. This
    division of labor leads to a tradeoff: more structure-building means less need
    to store while more storage means less need to compute structure. We develop
    a hierarchical Bayesian model called fragment grammar to explore the optimum
    balance between structure-building and reuse. The model is developed
    in the context of stochastic functional programming (SFP), and in particular,
    using a probabilistic variant of Lisp known as the Church programming language
    [17]. We show how to formalize several probabilistic models of language
    structure using Church, and how fragment grammar generalizes one of them—
    adaptor grammars [21]. We conclude with experimental data with adults and
    preliminary evaluations of the model on natural language corpus data.
    
    }}
    
    
  28. evans-levinson-09bbs_myth-of-language-universals.pdf

    
    @article{evans-levinson-09bbs_myth-of-language-universals,
      title={The myth of language universals: Language diversity and its importance for cognitive science},
      author={Evans, N. and Levinson, S.C.},
      journal={Behavioral and Brain Sciences},
      volume={32},
      number={05},
      pages={429--448},
      year={2009},
      publisher={Cambridge Univ Press}
    
    annote= {
    
    ABSTRACT :
    Talk of linguistic universals has given cognitive scientists the
    impression that languages are all built to a common pattern. In fact, there
    are vanishingly few universals of language in the direct sense that all
    languages exhibit them. Instead, diversity can be found at almost every level
    of linguistic organization. This fundamentally changes the object of enquiry
    from a cognitive science perspective.  This target article summarizes decades
    of cross-linguistic work by typologists and descriptive linguists, showing
    just how few and unprofound the universal characteristics of language are,
    once we honestly confront the diversity offered to us by the world’s 6,000 to
    8,000 languages. After surveying the various uses of “universal,” we
    illustrate the ways languages vary radically in sound, meaning, and syntactic
    organization, and then we examine in more detail the core grammatical
    machinery of recursion, constituency, and grammatical relations. Although
    there are significant recurrent patterns in organization, these are better
    explained as stable engineering solutions satisfying multiple design
    constraints, reflecting both cultural-historical factors and the constraints
    of human cognition.
    
    Linguistic diversity then becomes the crucial datum for cognitive science: we
    are the only species with a communication system that is fundamentally
    variable at all levels. Recognizing the true extent of structural diversity
    in human language opens up exciting new research directions for cognitive
    scientists, offering thousands of different natural experiments given by
    different languages, with new opportunities for dialogue with biological
    paradigms concerned with change and diversity, and confronting us with the
    extraordinary plasticity of the highest human skills.
    
    According to Chomsky, a visiting Martian scientist would surely
    conclude that aside from their mutually unintelligible vocabularies,
    Earthlings speak a single language.
    — Steven Pinker (1994, p. 232)
    
    }}
    
    
  29. waxman-gelman-09_early-word-learning-both-reference-and-association.pdf

    
    @article{waxman-gelman-09_early-word-learning-both-reference-and-association,
      title={Early word-learning entails reference, not merely associations},
      author={Waxman, S.R. and Gelman, S.A.},
      journal={Trends in cognitive sciences},
      volume={13},
      number={6},
      pages={258--263},
      year={2009},
      annote = {
    
    contrasts associative learning approaches to lang acq with theory-based
    (learn rules of behaviour).  but argues that the rules are learned together
    with the associations.  I would fully agree.  - AM
    
    from ABSTRACT:
    classic tensions in research on the acquisition
    of words and concepts: pit one type of content
    against another (perceptual versus conceptual) and one type of process
    against another (associative versus theory-based). But these dichotomies are
    false; they rest upon insufficient consideration of the structure and
    diversity of the words and concepts that we naturally acquire. As infants and
    young children establish categories and acquire words to describe them, they
    take advantage of both perceptual and conceptual information, and relate this
    to both the (rudimentary) theories they hold and the statistics that they
    witness.
    
    Two metaphors of development
    
    Two different metaphors undergird recent work on early cognitive and language
    development. The ‘child-as-data-analyst’ metaphor captures human infants’
    impressive capacity to attend to statistical regularities in their
    environments [1] and [2], and the rich sensory, perceptual and computational
    resources that they bring to the task of acquisition. The ‘child-as-theorist’
    metaphor captures infants’ impressive array of conceptual capacities,
    including core knowledge of physical objects, skeletal theories of animate
    objects and a sensitivity to the distinct principles governing the behavior
    of each [3], [4], [5], [6] and [7].
    
    The basic thesis of this article is simple: these two metaphors should not be
    in competition. As infants and young children establish concepts and acquire
    words to describe them, they rely on both the (rudimentary) theories that
    they hold and the statistics that they witness [8], [9], [10] and [11]. This
    might seem like an uncontroversial point, and indeed it has been embraced by
    researchers across a broad theoretical spectrum, including those focusing
    primarily on at the perceptual and the conceptual ends of the spectrum [11],
    [12], [13], [14] and [15]. Of course, this does not mean that researchers now
    speak in a single voice. On the contrary, strong differences remain on
    matters as fundamental as whether our conceptual capacities arise from a
    bedrock of perceptual primitives or are built upon conceptual primitives
    (including domain-specific frameworks for interpreting data). 
    
    Nonetheless, ... Strong
    endorsements for using the child-as-data-analyst metaphor alone persist:
    ‘…early in development, cognitive processes do not depend on top-down
    conceptual knowledge. Instead, they are grounded in powerful learning
    mechanisms…’ ([16], p. 180, emphasis added). 
    
    1 Xu, F. and Tenenbaum, J.B. (2007) Sensitivity to sampling in Bayesian word
       learning. Dev. Sci. 10, 288–297
    2 Rakison, D.H. and Lupyan, G. (2008) Developing object concepts in infancy:
       An associative learning perspective. SRCD Monographs
    3 Baillargeon, R. (2008) Innate ideas revisited: for a principle of
       persistence in infants’ physical reasoning. Perspectives on Psychological
       Science 3, 2–13
    4 Spelke, E.S. (2000) Core knowledge. Am. Psychol. 55, 1233–1243
    5 Carey, S. (2009) The origin of concepts. Oxford University Press
    6 Gelman, R. and Williams, E.M. (1998). Enabling constraints for cognitive 
       development and learning: domain specificity and epigenesis. In Handbook
       of child psychology: Cognition, perception, and language (Volume 2, 4th
       edition) (Kuhn, D. and Siegler, R., eds), pp.  575–630, Wiley
    7 Wellman, H.M. and Gelman, S.A. (1998). Knowledge acquisition. In Handbook 
       of child psychology: cognition, perception, and language (Vol.  2, 4th
       edition) (Kuhn, D. and Siegler, R., eds), pp. 523–573, Wiley
    8 Gelman, S.A. and Kalish, C.W. (2006). Conceptual development. In Handbook
       of child psychology: cognition, perception, and language (Vol.  2, 6th
       edition) (Kuhn, D. and Siegler, R. S., eds), pp. 687–733, Wiley
    9 Waxman, S.R. and Lidz, J.L. (2006). Early word learning. In Handbook
       of child psychology: cognition, perception, and language (Vol. 2, 6th
       edition) (Kuhn, D. and Siegler, R. S., eds), pp. 299–335, Wiley
    10 Gopnik, A. and Schulz, L. (2007) Causal learning: psychology, philosophy,
       and computation. Oxford University Press
    11 Hollich, G.J. et al. (2000). Breaking the language barrier: an emergentist
       coalition model for the origins of word learning.  Monographs of the
       society for research in child development, 65.(3, Serial No. 262)
    12 Colunga, E. and Smith, L.B. (2005) From the lexicon to expectations about
       kinds: a role for associative learning. Psychol. Rev. 112, 347–382
    13 Booth, A.E. and Waxman, S.R. (2006) Deja vu all over again: re-revisiting
       the conceptual status of early word learning: Comment on Smith and
       Samuelson (2006). Dev. Psychol. 42, 1344–1346
    14 Samuelson, L.K. and Bloom, P. (2008) The shape of controversy: what counts
       as an explanantion of development? Introduction to the Special
       Section. Dev. Sci. 11, 183–184
    15 Smith, L.B. and Samuelson, L. (2006) An attentional learning account of
       the shape bias: Reply to Cimpian and Markman (2005) and Booth, Waxman, and
       Huang (2005). Dev. Psychol. 42, 1339–1343
    16 Sloutsky, V.M. et al. (2007) When looks are everything: appearance
       similarity versus kind information in early induction. Psychol. Sci. 18,
       179–185   --> see debate in 55 below. 
    
    REFERENCES
    
    17 Sloutsky, V.M. et al. (2001)How much does a shared name make things
       similar? Linguistic Labels, Similarity and the Development of Inductive
       Inference. Child Dev. 72, 1695–1709
    18 Sloutsky, V.M. and Robinson, C.W. (2008) The role of words and sounds in
       visual processing: from overshadowing to attentional tuning. Cogn.
       Sci. 32, 354–377
    19 Sloutsky, V.M. (2003) The role of similarity in the development of
       categorization. Trends Cogn. Sci. 7, 246–251
    20 Gopnik, A. and Meltzoff, A.N. (1997) Words, thoughts, and theories.
       Bradford Books/MIT Press, (Cambridge, MA)
    21 Gleitman, L.R. et al. (2005) Hard words. Language Learning and Development
       1, 23–64
    22 Putnam, H. (1973) Meaning and reference. J. Philos. 70, 699–711
    23 Fennell, C.T. et al. (2007). With referential cues, infants successfully
       use phonetic detail in word learning. Proceedings of the 31st Boston
       University Conference on Language Development. Somerville, MA: Cascadilla
       Press
    24 Lyons, J. (1977) Semantics: 1. Cambridge University Press, (New York)
    25 Cimpian, A. and Markman, E.M. (2008) Preschool children’s use of cues to
       generic meaning. Cognition 107, 19–53
    26 Gelman, S.A. (2004) Learning words for kinds: generic noun phrases in
       acquisition. In Weaving a lexicon (Hall, D.G. and Waxman, S.R., eds),
       pp. 445–484, MIT Press
    27 Leslie, S.J. (2008) Generics: Cognition and acquisition. Philos. Rev 117,
       1–49
    28 Chambers, C.G. et al. (2008) When hearsay trumps evidence: How generic
       language guides preschoolers’ inferences about unfamiliar
       things. Lang. Cogn. Process. 23, 749–766
    29 Prasada, I.I. (2000) Acquiring generic knowledge. Trends Cogn. Sci. 4,
       66–72
    30 Preissler, M.A. and Carey, S. (2004) Do both pictures and words function
       as symbols for 18- and 24-month-old children? J. Cogn.  Dev. 5, 185–212
    31 Gelman, S.A. (2003) The essential child: Origins of essentialism in
    everyday thought. Oxford University Press
    32 Graham, S.A. et al. (2004) Thirteen-month-olds rely on shared labels
    and shape similarity for inductive inferences. Child Dev. 75, 409–427
    33 Keates, J. and Graham, S.A. (2009) Category markers or attributes:
    why do labels guide infants’ inductive inferences? Psychol. Sci. 19,
    1287–1293
    34 Ganea, P.A. et al. (2007) Thinking of things unseen: infants’ use
    of language to update mental representations. Psychol. Sci. 18, 734–
    739
    35 Gopnik, A. and Sobel, D.M. (2000) Detecting blickets: how young
    children use information about novel causal powers in
    categorization and induction. Child Dev. 71, 1205–1222
    36 Legare, C.H. et al. (2008). The function of causal explanatory
    reasoning. Proceedings of the 30th Annual Meeting of the Cognitive
    Science Society
    37 Gelman, S.A. and Bloom, P. (2000) Young children are sensitive to how
    an object was created when deciding what to name it. Cognition 76 (2),
    91–103
    38 Kelemen, D. (1999) Functions, goals and intentions: children’s
    teleological reasoning about objects. Trends Cogn. Sci. 12, 461–468
    39 Opfer, J.E. and Bulloch, M.J. (2007) Causal relations drive young
    children’s induction, naming, and categorization. Cognition 105,
    206–217
    40 Bloom, P. (2000) How children learn the meanings of words. MIT Press
    41 Hall, D.G. and Lavin, T. (2004) The use and misuse of part-ofspeech
    information in word learning. In Weaving a Lexicon (Hall,
    D.G. and Waxman, S.R., eds), MIT Press
    42 Booth, A.E. et al. (2005) Conceptual information permeates word
    learning in infancy. Dev. Psychol. 41, 491–505
    43 Gergely, G. et al. (2007) On pedagogy. Dev. Sci. 10, 139–146
    44 Gelman, S.A. (2009) Learning from others: children’s construction of
    concepts. Annu. Rev. Psychol. 60, 115–140
    45 Koenig, M.A. et al. (2004) Trust in testimony: children’s use of true and
    false statements. Psychol. Sci. 15, 694–698
    46 Baldwin, D.A. (1995) Understanding the link between joint attention
    and language. In Joint attention: its origins and role in development
    (Moore, C. and Dunham, P.J., eds), pp. 131–158, Lawrence Erlbaum
    Associates, Inc
    47 Jaswal, V.K. (2004) Don’t believe everything you hear: preschoolers’
    sensitivity to speaker intent in category induction. Child Dev. 75,
    1871–1885
    48 Namy, L.L. andWaxman, S.R. (2000) Naming and exclaiming: infants’
    sensitivity to naming contexts. J. Cogn. Dev. 1, 405–428
    49 Woodward, A.L. and Hoyne, K.L. (1999) Infants’ learning about words
    and sounds in relation to objects. Child Dev. 70, 65–77
    50 Waxman, S.R. and Markow, D.B. (1995) Words as invitations to form
    categories: evidence from 12- to 13-month-old infants. Cognit. Psychol.
    29, 257–302
    51 Fulkerson, A.L. and Waxman, S.R. (2007) Words (but not tones)
    facilitate object categorization: evidence from 6- and 12-month-olds.
    Cognition 105, 218–228
    52 Waxman, S.R. and Braun, I.E. (2005) Consistent (but not variable)
    names as invitations to form object categories: new evidence from 12-
    month-old infants. Cognition 95, B59–B68
    53 Booth, A.E. and Waxman, S.R. (2009) A horse of a different color:
    specifying with precision infants’ mappings of novel nouns and
    adjectives. Child Dev. 80, 15–22
    54 Mill, J.S. (1843) A system of logic, ratiocinative and inductive. Longmans
    55 Gelman, S.A. and Waxman, S.R. (2007) Looking beyond looks:
    Comments on Sloutsky, Kloos & Fisher, When looks are everything:
    appearance similarity versus kind information in early induction.
    Psychol. Sci. 18, 554–555
    
    }}
    
    
  30. sommerville-crane-09_use-identify-goals-using-prior-10mos.pdf

    
    @article{sommerville-crane-09_use-identify-goals-using-prior-10mos,
      author={Jessica A. Sommerville and Catharyn C. Crane},
      title={Ten-month-old infants use prior information to identify an actor's goal},
      journal={Developmental Science},
      volume={12},
      number={2},
      pages={314--325},
      year={2009},
    
     For adults, prior information about an individual's likely goals,
     preferences or dispositions plays a powerful role in interpreting ambiguous
     behavior and predicting and interpreting behavior in novel contexts. Across
     two studies, we investigated whether 10-month-old infants' ability to
     identify the goal of an ambiguous action sequence was facilitated by seeing
     prior instances in which the actor directly pursued and obtained her goal,
     and whether infants could use this prior information to understand the
     actor's behavior in a new context. Experiment 1 demonstrated that the goal
     preview impacted infants' subsequent action understanding, but only if the
     preview was delivered in the same room as the subsequent action
     sequence. Experiment 2 demonstrated that infants' failure to transfer prior
     goal information across situations arose from a change in the room per se
     and not other features of the task. Our results suggest that infants may use
     their understanding of simple actions as a leverage point for understanding
     novel or ambiguous actions, but that their ability to do so is limited to
     certain types of contextual changes.
    }}
    
    
    
  31. goksun-hirshP-golinkoff-10_carving-up-events-for-learning.pdf

    
    @article{goksun-hirshP-golinkoff-10_carving-up-events-for-learning,
      title={Trading Spaces: Carving Up Events for Learning},
      author={Goksun, T. and Hirsh-Pasek, K. and Golinkoff, R.M.},
      journal={Perspectives on Psychological Science},
      volume={5},
      number={1},
      pages={33--42},
      year={2010}
      annote = {
    
    Abstract
    
    Relational terms (e.g., verbs and prepositions) are the cornerstone of
    language development, bringing together two distinct fields: linguistic
    theory and infants’ event processing. To acquire relational terms such as
    run, walk, in, and on, infants must first perceive and conceptualize
    components of dynamic events such as containment–support, path–manner,
    source–goal, and figure–ground.  Infants must then uncover how the particular
    language they are learning encodes these constructs. This review addresses
    the interaction of language learning with infants’ conceptualization of these
    nonlinguistic spatial event components. We present the thesis that infants
    start with language-general nonlinguistic constructs that are gradually
    refined and tuned to the requirements of their native language. In effect,
    infants are trading spaces, maintaining their sensitivity to some relational
    distinctions while dampening other distinctions, depending on how their
    native language expresses these constructs.
    
    }}
    
    

    ==== BRAIN ====

  32. Please find file (try google scholar)

    
    @article{raichle2010two,
      title={Two views of brain function},
      author={Marcus E. Raichle},
      journal={Trends in Cognitive Sciences},
      year={2010},
      publisher={Elsevier}
      pages ={180-190},
      abstract = {
    
    Traditionally studies of brain function have focused on task-evoked
    responses. By their very nature, such experiments tacitly encourage a
    reflexive view of brain function. Although such an approach has been
    remarkably productive, it ignores the alternative possibility that brain
    functions are mainly intrinsic, involving information processing for
    interpreting, responding to and predicting environmental demands. Here I
    argue that the latter view best captures the essence of brain function, a
    position that accords well with the allocation of the brain's energy
    resources. Recognizing the importance of intrinsic activity will require
    integrating knowledge from cognitive and systems neuroscience with cellular
    and molecular neuroscience where ion channels, receptors, components of
    signal transduction and metabolic pathways are all in a constant state of
    flux.
    
    ---
    The Brain's Dark Energy; March 2010; Scientific American Magazine; by 
    Marcus E. Raichle; 
    
    Imagine you are almost dozing in a lounge chair outside, with a magazine on
    your lap. Suddenly, a fly lands on your arm. You grab the magazine and swat
    at the insect. What was going on in your brain after the fly landed? And what
    was going on just before? Many neuroscientists have long assumed that much of
    the neural activity inside your head when at rest matches your subdued,
    somnolent mood. In this view, the activity in the resting brain represents
    nothing more than random noise, akin to the snowy pattern on the television
    screen when a station is not broadcasting. Then, when the fly alights on your
    forearm, the brain focuses on the conscious task of squashing the bug. But
    recent analysis produced by neuroimaging technologies has revealed something
    quite remarkable: a great deal of meaningful activity is occurring in the
    brain when a person is sitting back and doing nothing at all.
    
    It turns out that when your mind is at rest—when you are daydreaming quietly
    in a chair, say, asleep in a bed or anesthetized for surgery—dispersed brain
    areas are chattering away to one another. And the energy consumed by this
    ever active messaging, known as the brain’s default mode, is about 20 times
    that used by the  brain when it responds consciously to a pesky fly or
    another outside stimulus. Indeed, most things we do consciously, be it
    sitting down to eat dinner or making a speech, mark a departure from the
    baseline activity of the brain default mode.
    
    }}
    
    
  33. oakley-halligan-09trics_hypnotic-suggestion-cog-neuroscience.pdf

    
    @article{oakley-halligan-09trics_hypnotic-suggestion-cog-neuroscience,
      title={Hypnotic suggestion and cognitive neuroscience},
      author={Oakley, D.A. and Halligan, P.W.},
      journal={Trends in cognitive sciences},
      volume={13},
      number={6},
      pages={264--270},
      year={2009},
      publisher={Elsevier}
      annote = 
    
    ABSTRACT
    The growing acceptance of consciousness as a legitimate field of enquiry and
    the availability of functional imaging has rekindled research interest in the
    use of hypnosis and suggestion to manipulate subjective experience and to
    gain insights into healthy and pathological cognitive functioning. Current
    research forms two strands. The first comprises studies exploring the
    cognitive and neural nature of hypnosis itself. The second employs hypnosis
    to explore known psychological processes using specifically targeted
    suggestions. An extension of this second approach involves using hypnotic
    suggestion to create clinically informed analogues of established structural
    and functional neuropsychological disorders. With functional imaging, this
    type of experimental neuropsychopathology offers a productive means of
    investigating brain activity involved in many symptom-based disorders and
    their related phenomenology.
    
    }}
    
    
  34. gazzola-2007neuro_mirror-neuron-responds-to-robotic-actions.pdf

    
    @article{gazzola-2007neuro_mirror-neuron-responds-to-robotic-actions,
      title={The anthropomorphic brain: The mirror neuron system responds to human and robotic actions},
      author={Gazzola, V. and Rizzolatti, G. and Wicker, B. and Keysers, C.},
      journal={Neuroimage},
      volume={35},
      number={4},
      pages={1674--1684},
      year={2007},
      publisher={Elsevier}
      abstract = {
    
    In humans and monkeys the mirror neuron system transforms seen actions into
    our inner representation of these actions. Here we asked if this system
    responds also if we see an industrial robot perform similar actions. We
    localised the motor areas involved in the execution of hand actions,
    presented the same subjects blocks of movies of humans or robots perform a
    variety of actions. The mirror system was activated strongly by the sight of
    both human and robotic actions, with no significant differences between these
    two agents. Finally we observed that seeing a robot perform a single action
    repeatedly within a block failed to activate the mirror system. This latter
    finding suggests that previous studies may have failed to find mirror
    activations to robotic actions because of the repetitiveness of the presented
    actions. Our findings suggest that the mirror neuron system could contribute
    to the understanding of a wider range of actions than previously assumed, and
    that the goal of an action might be more important for mirror activations
    than the way in which the action is performed.
    
    }}
    
    
  35. newman-2007nature-mirror-neuron.pdf

    
    @article{newman-2007nature-mirror-neuron,
      title={The mirror neuron system is more active during complementary compared with imitative action},
      author={Newman-Norlund, R.D. and van Schie, H.T. and van Zuijlen, A.M.J. and Bekkering, H.},
      journal={Nature neuroscience},
      volume={10},
      number={7},
      pages={817--818},
      year={2007},
      publisher={Nature Publishing Group}
      abstract = 
    
    We assessed the role of the human mirror neuron system (MNS) in complementary
    actions using functional magnetic resonance imaging while participants
    prepared to execute imitative or complementary actions. The BOLD signal in
    the right inferior frontal gyrus and bilateral inferior parietal lobes was
    greater during preparation of complementary than during imitative actions,
    suggesting that the MNS may be essential in dynamically coupling action
    observation to action execution.
    
    }}
    
    
  36. kyriacou-hastings-2010trics_circadian-clocks-sleep-cognition.pdf

    
    @article{kyriacou-hastings-2010trics_circadian-clocks-sleep-cognition,
      title={Circadian clocks: genes, sleep, and cognition},
      author={Charalambos P. Kyriacou and Michael H. Hastings},
      journal={Trends in Cognitive Sciences},
      year={2010},
      publisher={Elsevier}
      pages= {259-267},
    }
    
    
  37. caggiano-09science_mirror-neurons.pdf

    
    @article{caggiano-09science_mirror-neurons,
      title={Mirror neurons differentially encode the peripersonal and extrapersonal space of monkeys},
      author={Caggiano, V. and Fogassi, L. and Rizzolatti, G. and Thier, P. and Casile, A.},
      journal={science},
      volume={324},
      number={5925},
      pages={403},
      year={2009},
      annote = {
    
    Actions performed by others may have different relevance for the observer,
    and thus lead to different behavioral responses, depending on the regions of
    space in which they are executed. We found that in rhesus monkeys, the
    premotor cortex neurons activated by both the execution and the observation
    of motor acts (mirror neurons) are differentially modulated by the location
    in space of the observed motor acts relative to the monkey, with about half
    of them preferring either the monkey’s peripersonal or extrapersonal space. A
    portion of these spatially selective mirror neurons encode space according to
    a metric representation, whereas other neurons encode space in operational
    terms, changing their properties according to the possibility that the monkey
    will interact with the object. These results suggest that a set of mirror
    neurons encodes the observed motor acts not only for action understanding,
    but also to analyze such acts in terms of features that are relevant to
    generating appropriate behaviors
    
    }}
    
    
  38. aimone-2010trics_adult-neurogenesis-hippocampus.pdf

    
    @article{aimone-2010trics_adult-neurogenesis-hippocampus,
      title={Adult neurogenesis: integrating theories and separating functions},
      author={Aimone, J.B. and Deng, W. and Gage, F.H.},
      journal={Trends in Cognitive Sciences},
      year={2010},
      publisher={Elsevier}
    }
    
    
  39. nir-tononi-10_dreaming-neurophysiology.pdf

    
    @article{nir-tononi-10_dreaming-neurophysiology,
      title={Dreaming and the brain: from phenomenology to neurophysiology},
      author={Yuval Nir and Giulio Tononi, }
      journal={Trends in cognitive sciences},
      year={2010},
    
    Dreams are a remarkable experiment in psychology and neuroscience, conducted
    every night in every sleeping person. They show that the human brain,
    disconnected from the environment, can generate an entire world of conscious
    experiences by itself. Content analysis and developmental studies have
    promoted understanding of dream phenomenology. In parallel, brain lesion
    studies, functional imaging and neurophysiology have advanced current
    knowledge of the neural basis of dreaming. It is now possible to start
    integrating these two strands of research to address fundamental questions
    that dreams pose for cognitive neuroscience: how conscious experiences in
    sleep relate to underlying brain activity; why the dreamer is largely
    disconnected from the environment; and whether dreaming is more closely
    related to mental imagery or to perception.
    
    }}
    
    
  40. 
    @article{rees2008anatomy,
      title={The anatomy of blindsight},
      author={Rees, G.},
      journal={Brain},
      volume={131},
      number={6},
      pages={1414},
      year={2008},
      publisher={Oxford Univ Press}
    }
    
    
  41. uhlhaas-roux-10_neural-synchrony-cortical-network-development.pdf

    
    @article{uhlhaas-roux-10_neural-synchrony-cortical-network-development,
      title={Neural synchrony and the development of cortical networks},
      author={Uhlhaas, P.J. and Roux, F. and Rodriguez, E. and Rotarska-Jagiela, A. and Singer, W.},
      journal={Trends in cognitive sciences},
      year={2010},
      publisher={Elsevier}
    
    
    Volume 14, Issue 2, February 2010, Pages 72-80
    
    }
    
    
  42. bullmore-sporns-2009nrev_complex-brain-networks.pdf

    
    @article{bullmore-sporns-2009nrev_complex-brain-networks,
      title={Complex brain networks: graph theoretical analysis of structural and functional systems},
      author={Bullmore, E. and Sporns, O.},
      journal={Nature Reviews Neuroscience},
      volume={10},
      number={3},
      pages={186--198},
      year={2009},
      publisher={Nature Publishing Group}
    }
    
    
  43. giudice2009plo.pdf

    
    @article{giudice2009plo,
      title={Programmed to learn? The ontogeny of mirror neurons},
      author={Giudice, M.D. and Manera, V. and Keysers, C.},
      journal={Developmental Science},
      volume={12},
      number={2},
      pages={350--363},
      year={2009},
    
    marco.delgiudice@unito.it
    
    ABSTRACT
    
    Mirror neurons are increasingly recognized as a crucial substrate for many
    developmental processes, including imitation and social learning. Although
    there has been considerable progress in describing their function and
    localization in the primate and adult human brain, we still know little about
    their ontogeny. The idea that mirror neurons result from Hebbian learning
    while the child observes/hears his/her own actions has received remarkable
    empirical support in recent years. Here we add a new element to this
    proposal, by suggesting that the infant's perceptual-motor system is
    optimized to provide the brain with the correct input for Hebbian learning,
    thus facilitating the association between the perception of actions and their
    corresponding motor programs. We review evidence that infants (1) have a
    marked visual preference for hands, (2) show cyclic movement patterns with a
    frequency that could be in the optimal range for enhanced Hebbian learning,
    and (3) show synchronized theta EEG (also known to favour synaptic Hebbian
    learning) in mirror cortical areas during self-observation of grasping. These
    conditions, taken together, would allow mirror neurons for manual actions to
    develop quickly and reliably through experiential canalization. Our
    hypothesis provides a plausible pathway for the emergence of mirror neurons
    that integrates learning with genetic pre-programming, suggesting new avenues
    for research on the link between synaptic processes and behaviour in
    ontogeny.
    
    }}
    
    
  44. bressler-menon-2010trics_large-scale-brain-networks.pdf

    
    @article{bressler-menon-2010trics_large-scale-brain-networks,
      title={Large-scale brain networks in cognition: emerging methods and principles},
      author={Steven L. Bressler and Vinod Menon},
      journal={Trends in Cognitive Sciences},
      year={2010},
      publisher={Elsevier}
      pages = {277-290},
    }
    
    
  45. bulloch-opfer-09_perceptual-to-relational-shift-in-generalization.pdf

    
    @article{bulloch-opfer-09_perceptual-to-relational-shift-in-generalization,
      title={What makes relational reasoning smart? Revisiting the perceptual-to-relational shift in the development of generalization},
      author={Megan J. Bulloch and John E. Opfer},
      journal={Developmental Science},
      volume={12},
      number={1},
      pages={114--122},
      year={2009},
    
    opfer.7@osu.edu
    
    ABSTRACT
    
    Development of reasoning is often depicted as involving increasing use of
    relational similarities and decreasing use of perceptual similarities ('the
    perceptual-to-relational shift'). We argue that this shift is a special case
    of a broader developmental trend: increasing sensitivity to the predictive
    accuracy of different similarity types. To test this hypothesis, we asked
    participants (3-, 4-, 5-year-olds and adults) to generalize novel information
    on two types of problems – offspring problems, where relational matches yield
    accurate generalizations, and prey problems, where perceptual matches yield
    accurate generalizations. On offspring problems, we replicated prior findings
    of increasing relational matches with age. However, we observed decreasing
    relational matches on prey problems. Provided feedback on their responses,
    3-year-olds showed the same trend. Findings suggest that the relational shift
    commonly observed in categorization and analogical reasoning may reflect a
    general increase in children's sensitivity to cue validity rather than an
    overall preference to generalize over perceptual similarity. 
    
    A hallmark of human intelligence is the ability to generalize
    flexibly over different types of similarity (Gentner,
    2003). Two types of similarity are clearly important:
    perceptual similarity, degree of overlap in perceptual features; and
    relational similarity, degree of overlap in
    common roles (Medin, Goldstone & Gentner, 1993). In
    some situations, generalizing over
    features of individual entities
    is important. For example, given the relation
    between fins and ocean living, the fact that dolphins and
    swordfish both have fins suggests that they, unlike bears,
    live in the ocean. Sometimes different patterns of generalization
    are warranted, based on relations among different entities. For example,
    given the relation between 
    mammals and nursing, the fact that both dolphins and
    bears are mammals suggests that they, unlike swordfish,
    nurse their young. Although generalization by either
    type of similarity alone has been found in animals and
    human infants (Marcus, Vinjayan, Bandi Rao & Vishton,
    1999; Hauser, Weiss & Marcus, 2002; Shepard, 1987;
    but see Cohen, 2003; Thompson & Oden, 2000), whether
    children can ignore perceptual similarities and generalize
    over opposing relational similarities is at the heart of
    a lively debate in cognitive development (Gelman,
    2003; Gentner & Toupin, 1986; Goswami, 1992; Opfer
    & Bulloch, 2007; Sloutsky & Fisher, 2004).
    
    Evidence from category-based induction, where children’s
    categories often map onto shared taxonomic,
    functional, and social relations more closely than onto
    perceptual similarities, indicates that young children can
    generalize over common relations rather than just common
    features (Brown & Kane, 1988; Goswami, 1995;
    Opfer & Siegler, 2004; Springer, 2001). For example, 5-
    year-olds generalized properties to a bat-like bird from a
    flamingo (same relation, different features) rather than
    from a bat (different relation, similar features) (Gelman
    & Markman, 1986). On the other hand, reports of children’s
    early ability to ignore perceptual similarity have
    also been challenged. Preschoolers’ apparent use of
    taxonomic relations in categorization might be explained
    instead as reflecting differential weighting of exemplar
    features (Jones & Smith, 1993), or stemming from
    feature–feature correlations (McClelland & Rogers, 2003;
    Rakison, 2000; Rakison & Hahn, 2004), or even from
    preschoolers’ treatment of taxonomic labels as perceptual
    features (Sloutsky & Fisher, 2004).
    
    Evidence regarding the development of children’s
    analogies has invited a similar debate. While there is
    widespread agreement that toddlers can make analogies
    as early as they represent relevant relations (Gentner
    & Rattermann, 1991; Goswami, 1996), it is unclear
    whether generalization over irrelevant perceptual similarities
    is a necessary step in the development of analogical
    reasoning (Rattermann & Gentner, 1998) or merely
    a performance factor (Goswami, 1996). This issue is
    important because the idea that children’s generalization
    undergoes a perceptual-to-relational shift has had a long
    tradition in developmental psychology (e.g. Vygotsky,
    1962; Quine, 1977; Keil, 1989; Keil & Batterman, 1984;
    Gentner, 1988, 2003; Ratterman & Gentner, 1989), and
    although accounts differ in claims about domainspecificity,
    the notion that perceptual matching is the
    initial default in children’s reasoning (Keil’s ‘Original
    Sim’) is widely shared.
    
    In this paper, we propose an alternative perspective on the roles of
    perceptual and relational similarity in the development of
    generalization. Rather than development proceeding from generalizations over
    perceptual similarities to generalizations over relational similarities
    (Figure 1a), the dominant developmental pattern is towards generalizing over
    highly predictive similarities, regardless of whether the similarities are
    perceptual or relational (Figure 1b). Within this latter view, the important
    developmental question is not when children learn to ignore irrelevant
    perceptual similarities in favor of relational ones, but how children learn
    the contexts in which they should ignore irrelevant perceptual similarities
    and irrelevant relational similarities. Moreover, if our account is correct,
    it has interesting implications for problems where perceptual and relational
    similarities conflict. Specifically, it predicts increasing use of relational
    matches with age for relations that reliably predict novel properties and
    decreasing use of relational matches with age for relations that do not
    reliably predict novel properties.
    
    }}
    
    

    ==== GENERAL COGNITION ====

    pyysiainen-2010trics_origins-of-religion">
  46. pyysiainen-2010trics_origins-of-religion.pdf

    
    @article{pyysiainen-2010trics_origins-of-religion,
      title={The origins of religion: evolved adaptation or by-product?},
      author={Pyysi{\\"a}inen, Ilkka and Hauser, Marc},
      journal={Trends in Cognitive Sciences},
      year={2010},
      publisher={Elsevier}
      pages={104-109},
      abstract = {
    
    Considerable debate has surrounded the question of the origins and evolution
    of religion. One proposal views religion as an adaptation for cooperation,
    whereas an alternative proposal views religion as a by-product of evolved,
    non-religious, cognitive functions. We critically evaluate each approach,
    explore the link between religion and morality in particular, and argue that
    recent empirical work in moral psychology provides stronger support for the
    by-product approach. Specifically, despite differences in religious
    background, individuals show no difference in the pattern of their moral
    judgments for unfamiliar moral scenarios. These findings suggest that
    religion evolved from pre-existing cognitive functions, but that it may then
    have been subject to selection, creating an adaptively designed system for
    solving the problem of cooperation.
    }}
    
    
    
  47. baillargeon_2010trics_false-belief-understanding.pdf

    
    @article{baillargeon_2010trics_false-belief-understanding,
      title={False-belief understanding in infants},
      author={Renée Baillargeon and Rose M. Scott and Zijing He},
      journal={Trends in Cognitive Sciences},
      year={2010},
      publisher={Elsevier}
      pages= {110-118},
      abstract = {
    
    At what age can children attribute false beliefs to others? Traditionally,
    investigations into this question have used elicited-response tasks in which
    children are asked a direct question about an agent's false belief. Results
    from these tasks indicate that the ability to attribute false beliefs does
    not emerge until about age 4. However, recent investigations using
    spontaneous-response tasks suggest that this ability is present much
    earlier. Here we review results from various spontaneous-response tasks that
    suggest that infants in the second year of life can already attribute false
    beliefs about location and identity as well as false perceptions. We also
    consider alternative interpretations that have been offered for these
    results, and discuss why elicited-response tasks are particularly difficult
    for young children.
    
    }}
    
    
  48. fiser-2009_optimal-perception-and-learning.pdf

    
    @article{fiser-2009_optimal-perception-and-learning,
      author={József Fiser and Pietro Berkes and Gergő Orbán and Máté Lengyel},
      title = {Statistically optimal perception and learning: from behavior to neural representations},
      pages= {119-130}, 
      abstract = {
    
    We review evidence for statistically optimal learning in humans and animals,
    and re-evaluate possible neural representations of uncertainty based on their
    potential to support statistically optimal learning. We propose that
    spontaneous activity can have a functional role in such representations
    leading to a new, sampling-based, framework of how the cortex represents
    information and uncertainty.
    
    }}
    
    
  49. xuFei-2007_sortal-concepts-objects-language.pdf

    
    @article{xuFei-2007_sortal-concepts-objects-language,
      title={Sortal concepts, object individuation, and language},
      author={Fei Xu},
      journal={Trends in Cognitive Sciences},
      volume={11},
      number={9},
      pages={400--406},
      year={2007},
      publisher={Elsevier}
      annote = {
    
    This review highlights how the philosophical notion of a ‘sortal’ – a concept
    that provides principles of individuation and principles of identity – has
    been introduced into cognitive developmental psychology. Although the notion
    ‘sortal’ originated in metaphysics, importing it into the cognitive sciences
    has bridged a gap between philosophical and psychological discussions of
    concepts and has generated a fruitful and productive research enterprise. As
    I review here, the sortal concept has inspired several lines of empirical
    work in the past decade, including the study of object individuation; object
    identification; the relationship between language and acquisition of kind
    concepts; the representational capacities of non-human primates; object-based
    attention and cognitive architecture; and the relationship between kind
    concepts and individual concepts.
    
    }}
    
    
  50. goldstein-edelman-2010trics_principles-of-space-time-learning.pdf

    
    @article{goldstein-edelman-2010trics_principles-of-space-time-learning,
      title={General cognitive principles for learning structure in time and space},
      author={Michael H. Goldstein and Heidi R. Waterfall and Arnon Lotem and Joseph Y. Halpern and Jennifer A. Schwade and Luca Onnis and Shimon Edelman},
      journal={Trends in cognitive sciences},
      year={2010},
      publisher={Elsevier}
      pages = {249-258},
    }
    
    
  51. gil-gahr-2010cell_honesty-of-bird-song.pdf

    
    @article{gil-gahr-2010cell_honesty-of-bird-song,
    
    Diego Gil and Manfred Gahr
    The honesty of bird song: multiple constraints for multiple traits
    
    annote = {
    
    birdsong is an honest signal, since it requires considerable resources in
    terms of brain structures, but also because social factors, such as learning
    opportunity etc.  [ rather like humans and social factors in education? ]
    
    The function of bird song is closely linked to sexual selection. A fundamental
    question regarding the evolution of sexually selected male signals is how their
    honesty is maintained. The neural space required for storing a large song
    repertoire size has traditionally been identified as a key constraint. However,
    it is often forgotten that bird song is a multifaceted behaviour, and that the
    different characters that comprise it have specific costs. Recent research has
    revealed the existence of new constraints, such as social aggression or learning
    opportunities, which limit the expression of several song characteristics. We
    review the existing evidence for each of these constraints, revealing some
    major gaps in our knowledge of this fascinating biological system.
    
    }}
    
    
  52. dewaal-2010trics_bottom-up-animal-human-cognition.pdf

    
    @article{dewaal-2010trics_bottom-up-animal-human-cognition,
      title={Towards a bottom-up perspective on animal and human cognition},
      author={de Waal, Frans B.M. and Pier Francesco Ferrari}
      journal={Trends in Cognitive Sciences},
      year={2010},
      publisher={Elsevier}
      pages= {201-207},
    }
    
    
  53. curtis-lee-2010trics_persistent-activity-in-decision-making.pdf

    
    @article{curtis-lee-2010trics_persistent-activity-in-decision-making,
      title={Beyond working memory: the role of persistent activity in decision making},
      author={Clayton E. Curtis and Daeyeol Lee},
      journal={Trends in Cognitive Sciences},
      year={2010},
      publisher={Elsevier}
      pages= {216-222},
    }
    
    
  54. schyns-09_info-processing-algos-in-brain.pdf

    
    @article{schyns-09_info-processing-algos-in-brain,
      title={Information processing algorithms in the brain},
      author={Schyns, P.G. and Gosselin, F. and Smith, M.L.},
      journal={Trends in Cognitive Sciences},
      volume={13},
      number={1},
      pages={20--26},
      year={2009},
      publisher={Elsevier}
    }
    
    
  55. griffiths-chater-tenenbaum-2010trics_probabilistic-cognition.pdf

    
    @article{griffiths-chater-tenenbaum-2010trics_probabilistic-cognition,
    title = "Probabilistic models of cognition: exploring representations and inductive biases",
    journal = "Trends in Cognitive Sciences",
    volume = "14",
    number = "8",
    pages = "357 - 364",
    year = "2010",
    note = "",
    issn = "1364-6613",
    doi = "DOI: 10.1016/j.tics.2010.05.004",
    url = "http://www.sciencedirect.com/science/article/B6VH9-50C8DJH-1/2/9cd535e6ea05607617e6c88da610f61f",
    author = "Thomas L. Griffiths and Nick Chater and Charles Kemp and Amy Perfors and Joshua B. Tenenbaum",
    abstract = "
    Cognitive science aims to reverse-engineer the mind, and many of the engineering challenges the mind faces involve induction. The probabilistic approach to modeling cognition begins by identifying ideal solutions to these inductive problems. Mental processes are then modeled using algorithms for approximating these solutions, and neural processes are viewed as mechanisms for implementing these algorithms, with the result being a top-down analysis of cognition starting with the function of cognitive processes. Typical connectionist models, by contrast, follow a bottom-up approach, beginning with a characterization of neural mechanisms and exploring what macro-level functional phenomena might emerge. We argue that the top-down approach yields greater flexibility for exploring the representations and inductive biases that underlie human cognition."
    }}
    
    
  56. mcclelland-botvinnick-smith-2010trics_letting-structure-emerge.pdf

    
    @article{mcclelland-botvinnick-smith-2010trics_letting-structure-emerge,
      Title =	 "Letting structure emerge: connectionist and dynamical
                      systems approaches to cognition",
      journal =	 "Trends in Cognitive Sciences",
      volume =	 "14",
      number =	 "8",
      pages =	 "348 - 356",
      year =	 "2010",
      issn =	 "1364-6613",
      doi =		 "DOI: 10.1016/j.tics.2010.06.002",
      author =	 "James L. McClelland and Matthew M. Botvinick and David
                      C. Noelle and David C. Plaut and Timothy T. Rogers and Mark
                      S. Seidenberg and Linda B. Smith",
      abstract =	 "Connectionist and dynamical systems approaches explain
                      human thought, language and behavior in terms of the
                      emergent consequences of a large number of simple
                      noncognitive processes. We view the entities that serve as
                      the basis for structured probabilistic approaches as
                      abstractions that are occasionally useful but often
                      misleading: they have no real basis in the actual processes
                      that give rise to linguistic and cognitive abilities or to
                      the development of these abilities. Although structured
                      probabilistic approaches can be useful in determining what
                      would be optimal under certain assumptions, we propose that
                      connectionist, dynamical systems, and related approaches,
                      which focus on explaining the mechanisms that give rise to
                      cognition, will be essential in achieving a full
                      understanding of cognition and development."
    
    }}
    
    
  57. Please find file (try google scholar)

    
    @
    A computational foundation for cognitive development: comment on Griffths et al. and McLelland et al.
    Alison Gopnik, Henry M. Wellman, Susan A. Gelman and Andrew N. Meltzoff
    Trends in Cognitive Sciences
    Volume 14, Issue 8, August 2010, Pages 342-343
    
    UC-Berkeley/UMich/UWash
    
    A deep theoretical tension lies at the heart of developmental cognitive
    science. Children – even infants – have abstract structured representations
    of the world: intuitive theories and grammars, conceptual hierarchies and
    phonological maps. At the same time, children learn. They transform their
    representations based on concrete experiences – the contingent probabilistic
    evidence of their senses. How can children induce abstract structure from
    concrete contingencies?
    
    Connectionist and dynamic theories, such as those advocated by McLelland et
    al. [1], allow for learning but deny that there are abstract
    representations. Traditionally the alternative has been nativism, which
    allows for representation but denies that there is substantive
    learning. Empirically minded developmental psychologists like us have been
    dissatisfied with both of these options. Instead, we have advocated the
    ‘theory theory’ – the idea that children's learning is like theory change in
    science – because in science we also see both rich structure and significant
    learning [2] and [3]. However, until recently there were no computational
    accounts of theory change.
    
    When connectionist theories appeared, we were initially excited. But because
    even infants have abstract representations of the world, computational
    accounts that eschewed such representations were missing a crucial
    component. By contrast, the framework of probabilistic models described by
    Griffiths et al. [4] promises a computationally precise developmental
    cognitive science that can integrate structure and learning.
    
    The central advance has been to formulate structured representations, such as
    causal graphical models, that can be easily combined with probabilistic
    learning, such as Bayesian inference. Classically, we ‘theory theorists’
    proposed that children learn by constructing hypotheses and testing them
    against evidence. But if this is a deterministic process, then the ‘poverty
    of the stimulus’ problem becomes acute – there will never be enough data to
    definitively prove that one hypothesis is right and reject the rest. By
    contrast, we would now propose that the child is a probabilistic learner,
    weighing the evidence to strengthen or reduce support for one hypothesis over
    another. Probabilistic models can help to explain how children are gradually
    able to revise their initial theories in favor of better ones. Moreover,
    recent evidence shows that young children do indeed behave like probabilistic
    learners – entertaining multiple hypotheses, weighing new possibilities
    against prior beliefs, experimenting and explaining – rather than simply
    using associationist mechanisms to match patterns in the data, as in
    connectionist systems.
    
    The ultimate test of any perspective is whether it generates new and
    interesting empirical research. Researchers inspired by the probabilistic
    model approach have already begun to make important developmental discoveries
    that do not fit the connectionist picture(for general reviews of
    developmental theory and data see [5] and [6]). Recent work we have been
    involved in has shown that 20-month-old children can infer a person's desire
    from a non-random sampling pattern [7], 2-year-olds make better inferences
    from causal cues than simple correlations [8] and 4-year-olds need only a few
    data points to infer a new causal structure to explain anomalous evidence [9]
    and to discover abstract causal rules [10]. Sobel's laboratory has shown that
    infants can make causal inferences that go beyond association
    (http://www.cog.brown.edu/research/causalitylab/); Schulz's has shown that
    4-year-olds discover new abstract variables, experiment to resolve confounded
    causes and weigh new evidence against prior knowledge
    (http://web.mit.edu/eccl/).
    
    Developmental evidence has also inspired computational
    advances. Developmentalists emphasize the importance of framework theories,
    explanation and experimentation and social context; computationalists are
    starting to tackle those problems, too (e.g. http://www.mit.edu/ndg/,
    http://louisville.edu/psychology/shafto/people/patrick-shafto.html,
    http://artsci.wustl.edu/feberhar/). Collaboration between cognitive
    development and probabilistic modeling holds great promise for the generation
    of a more precise developmental theory and a more realistic computational
    one, and an explanation, at last, of how children learn.
    
    References
    
    1 J.L. McLelland et al., Letting structure emerge: connectionist and dynamical systems approaches to cognition, Trends Cogn. Sci. 14 (2010), pp. 348–356.
    2 A. Gopnik and A.N. Meltzoff, Words, Thoughts and Theories, MIT Press (1996).
    3 S. Gelman and H. Wellman, Cognitive development: foundational theories of core domains, Annu. Rev. Psychol. 43 (1992), pp. 337–375.
    4 T.L. Griffiths et al., Probabilistic models of cognition: exploring representations and inductive biases, Trends Cogn. Sci. 14 (2010), pp. 357–364. Article |  PDF (351 K)
    5 A. Gopnik et al., A theory of causal learning in children: causal maps and Bayes nets, Psychol. Rev. 111 (2004), pp. 3–32. Abstract | Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (148)
    6 In: A. Gopnik and L. Schulz, Editors, Causal Learning: Philosophy, Psychology and Computation, Oxford University Press (2007).
    7 Kushnir, T. et al. Young children use statistical sampling to infer the preferences of others. Psychol. Sci. (in press).
    8 E. Bonawitz et al., Just do it? Investigating the gap between prediction and action in toddlers’ causal inferences, Cognition 115 (2010), pp. 104–117. Article |  PDF (276 K) | View Record in Scopus | Cited By in Scopus (0)
    9 C. Legare et al., Inconsistency with prior knowledge triggers children's causal explanatory reasoning, Child Dev. 81 (2010), pp. 929–944. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (0)
    10 Lucas, C. et al. Developmental differences in learning the form of causal relationships. In Proceedings of the Cognitive Science Society (Ohlsson, S. and Catrambone, R., eds), Lawrence Erlbaum Associates (in press).
    
    }}
    
    
  58. kello-2010trics_scaling-laws-in-cognitive-science.pdf

    
    @article{kello-2010trics_scaling-laws-in-cognitive-science,
      title={Scaling laws in cognitive sciences},
      author={Christopher T. Kello and Gordon D.A. Brown and Ramon
      Ferrer-i-Cancho and John G. Holden and Klaus Linkenkaer-Hansen and Theo
      Rhodes and van Orden, Guy C. },
      journal={Trends in Cognitive Sciences},
      year={2010},
      publisher={Elsevier}
      pages ={223-232},
      annote = 
    
    Scaling laws are ubiquitous in nature, and they pervade neural, behavioral
    and linguistic activities. A scaling law suggests the existence of processes
    or patterns that are repeated across scales of analysis. Although the
    variables that express a scaling law can vary from one type of activity to
    the next, the recurrence of scaling laws across so many different systems has
    prompted a search for unifying principles. In biological systems, scaling
    laws can reflect adaptive processes of various types and are often linked to
    complex systems poised near critical points. The same is true for perception,
    memory, language and other cognitive phenomena. Findings of scaling laws in
    cognitive science are indicative of scaling invariance in cognitive
    mechanisms and multiplicative interactions among interdependent components of
    cognition.
    
    }}
    
    
  59. klingberg-2010trics_plasticity-working-memory.pdf

    
    @article{klingberg-2010trics_plasticity-working-memory ,
      title={Training and plasticity of working memory},
      author={Klingberg, T.},
      journal={Trends in Cognitive Sciences},
      year={2010},
      publisher={Elsevier}
    }
    
    
  60. teufel-fletcher-2010_other-minds-influence-perception.pdf

    
    @article{teufel-fletcher-2010_other-minds-influence-perception,
      title =	 "Seeing other minds: attributed mental states influence
                      perception",
      journal =	 "Trends in Cognitive Sciences",
      volume =	 "14",
      number =	 "8",
      pages =	 "376 - 382",
      year =	 "2010",
      note =	 "",
      issn =	 "1364-6613",
      doi =		 "DOI: 10.1016/j.tics.2010.05.005",
      url =
                      "http://www.sciencedirect.com/science/article/B6VH9-50CVH9F-1/2/6b35710db61b4ab256617ed8a4389393",
      author =	 "Christoph Teufel and Paul C. Fletcher and Greg Davis",
      abstract =	 " A current consensus views social perception as a bottom-up
                      process in which the human brain uses social signals to
                      make inferences about another's mental state. Here we
                      propose that, contrary to this model, even the most basic
                      perceptual processing of a social stimulus and closely
                      associated automatic responses are modulated by
                      mental-state attribution. We suggest that social perception
                      is subserved by an interactive bidirectional relationship
                      between the neural mechanisms supporting basic sensory
                      processing of social information and the theory-of-mind
                      system. Consequently, processing of a social stimulus
                      cannot be divorced from its representation in terms of
                      mental states. This hypothesis has far-reaching
                      implications for our understanding of both the healthy
                      social brain and characteristic social failures in
                      psychopathology."
    }
    
    
  61. schier-09_phenomenal-consciousness.pdf

    
    @article{schier-09_phenomenal-consciousness,
      title={Identifying phenomenal consciousness},
      author={Schier, E.},
      journal={Consciousness and cognition},
      volume={18},
      number={1},
      pages={216--222},
      year={2009},
      publisher={Elsevier}
      annote = 
    
    phenomenal consciousness is the subjective process of sensation = qualia. 
    access consciousness is what we are aware of, what we can verbalize.  - AM
    
    ABSTRACT:
    This paper examines the possibility of finding evidence that phenomenal consciousness is
    independent of access. The suggestion reviewed is that we should look for isomorphisms
    between phenomenal and neural activation spaces. It is argued that the fact that phenomenal
    spaces are mapped via verbal report is no problem for this methodology. The fact that
    activation and phenomenal space are mapped via different means does not mean that they
    cannot be identified. The paper finishes by examining how data addressing this theoretical
    question could be obtained.
    
    }}
    
    
  62. kouider-2010trics_partial-consciousness.pdf

    
    @article{kouider-2010trics_partial-consciousness,
      title={How rich is consciousness? The partial awareness hypothesis},
      author={Kouider, S. and de Gardelle, V. and Sackur, J. and Dupoux, E.},
      journal={Trends in Cognitive Sciences},
      year={2010},
      publisher={Elsevier}
    
    Current theories of consciousness posit a dissociation between ‘phenomenal’
    consciousness (rich) and ‘access’ consciousness (limited). Here, we argue
    that the empirical evidence for phenomenal consciousness without access is
    equivocal, resulting either from a confusion between phenomenal and
    unconscious contents, or from an impression of phenomenally rich experiences
    arising from illusory contents. We propose a refined account of access that
    relies on a hierarchy of representational levels and on the notion of partial
    awareness, whereby lower and higher levels are accessed
    independently. Reframing of the issue of dissociable forms of consciousness
    into dissociable levels of access provides a more parsimonious account of the
    existing evidence. In addition, the rich phenomenology illusion can be
    studied and described in terms of testable cognitive mechanisms.
    
    --One or two types of consciousness?--
    
    [Consciousness] research field now offers functional descriptions and
    testable predictions regarding conscious processing [3], [4], [5], [6] and
    [7].  However, critics of this approach to consciousness argue that functional
    explanations come at the price of sacrificing the phenomenal aspects of
    consciousness: functional explanations are restricted to the cognitive
    mechanisms (i.e. attention, working memory, etc.) underlying access to
    conscious contents, ignoring the problem of how these contents arise in the
    first place [8] and [9]. From this perspective, consciousness should be
    dissociated into two components, namely access and phenomenal consciousness,
    following a popular dichotomy introduced by Block [9]. Importantly, the
    contents of phenomenal experiences are assumed to be much richer than the
    limited representations we can access at a given time
    
    }}
    
    
  63. purwins-herrera-08_computational-models-of-music-cognition.pdf

    
    @article{purwins-herrera-08_computational-models-of-music-cognition,
      title={Computational models of music perception and cognition I: The perceptual and cognitive processing chain},
      author={Purwins, H. and Herrera, P. and Grachten, M. and Hazan, A. and Marxer, R. and Serra, X.},
      journal={Physics of Life Reviews},
      volume={5},
      number={3},
      pages={151--168},
      year={2008},
      publisher={Elsevier}
      annote = {
    
    ABSTRACT
    We present a review on perception and cognition models designed for or
    applicable to music. An emphasis is put on computational implementations. We
    include findings from different disciplines: neuroscience, psychology,
    cognitive science, artificial intelligence, and musicology. The article
    summarizes the methodology that these disciplines use to approach the
    phenomena of music understanding, the localization of musical processes in
    the brain, and the flow of cognitive operations involved in turning physical
    signals into musical symbols, going from the transducers to the memory
    systems of the brain. We discuss formal models developed to emulate, explain
    and predict phenomena involved in early auditory processing, pitch
    processing, grouping, source separation, and music structure computation. We
    cover generic computational architectures of attention, memory, and
    expectation that can be instantiated and tuned to deal with specific musical
    phenomena. Criteria for the evaluation of such models are presented and
    discussed. Thereby, we lay out the general framework that provides the basis
    for the discussion of domain-specific music models in Part II.
    
    }}
    
    
  64. baronchelli-10_colour-term-naming.pdf

    
    @article{baronchelli-10_colour-term-naming,
      title={Modeling the emergence of universality in color naming patterns},
      author={Baronchelli, A. and Gong, T. and Puglisi, A. and Loreto, V.},
      journal={Proceedings of the National Academy of Sciences},
      volume={107},
      number={6},
      pages={2403},
      year={2010},
      publisher={National Acad Sciences}
      annote = {
    
    simulates populations of language users and how they model colour terms, and
    tries to duplicate the results of a large scale survey across human
    languages, that certain colours, like a core red, are a-culturally preferred
    as prototypical.  
    
    ABSTRACT
    The empirical evidence that human color categorization exhibits some
    universal patterns beyond superficial discrepancies across different cultures
    is a major breakthrough in cognitive science.  As observed in the World Color
    Survey (WCS), indeed, any two groups of individuals develop quite different
    categorization patterns, but some universal properties can be identified by a
    statistical analysis over a large number of populations. Here, we reproduce
    the WCS in a numerical model in which different populations develop
    independently their own categorization systems by playing elementary language
    games.We find that a simple perceptual constraint shared by all humans,
    namely the human Just Noticeable Difference (JND), is sufficient to trigger
    the emergence of universal patterns that unconstrained cultural interaction
    fails to produce. We test the results of our experiment against real data by
    performing the same statistical analysis proposed to quantify the universal
    tendencies shown in the WCS [Kay P & Regier T. (2003)
    Proc. Natl. Acad. Sci. USA 100: 9085-9089], and obtain an excellent
    quantitative agreement. This work confirms that synthetic modeling has
    nowadays reached the maturity to contribute significantly to the ongoing
    debate in cognitive science.
    
    }}
    
    
  65. couzin-09trics_collective-cognition-swarms.pdf

    
    @article{couzin-09trics_collective-cognition-swarms,
      title={Collective cognition in animal groups},
      author={Couzin, I.D.},
      journal={Trends in Cognitive Sciences},
      volume={13},
      number={1},
      pages={36--43},
      year={2009},
      publisher={Elsevier}
      annote = {
    
    The remarkable collective action of organisms such as swarming ants,
    schooling fish and flocking birds has long captivated the attention of
    artists, naturalists, philosophers and scientists. Despite a long history of
    scientific investigation, only now are we beginning to decipher the
    relationship between individuals and group-level properties. This
    interdisciplinary effort is beginning to reveal the underlying principles of
    collective decision-making in animal groups, demonstrating how social
    interactions, individual state, environmental modification and processes of
    informational amplification and decay can all play a part in tuning adaptive
    response. It is proposed that important commonalities exist with the
    understanding of neuronal processes and that much could be learned by
    considering collective animal behavior in the framework of cognitive science.
    
    }}
    
    
--- TRiCS Towards a neural basis of music-evoked emotions Pages 131-137 Stefan Koelsch What determines our navigational abilities? Pages 138-146 Thomas Wolbers, Mary Hegarty

==== ADDITIONAL papers (only .pdfs) ====

a The following files do not have a bibTeX entry, but the filenames should suggest the title. If you choose one of these, please create a bibTeX entry as well...

  1. ameel-malt-09_semantic-convergence-in-bilingual-lexicon.pdf
  2. cacchione-call-09_intuition-of-gravity-in-apes.pdf
  3. caeyenberghs-09_convergence-of-imagined-and-executed-movements.pdf
  4. christiansen-chater-09_language-acquisition-meets-lg-evolution.pdf
  5. christiansen-onnis-hockema-09_sound-segmentation-to-lexical-category.pdf
  6. chui-09_linguistic-n-imagistic-repr-of-motion-events.pdf

    @article{chui-09_imagistic,
    ;;chui-09_linguistic-n-imagistic-repr-of-motion-events
      title={Linguistic and imagistic representations of motion events},
      author={Chui, K.},
      journal={Journal of Pragmatics},
      year={2009},
      volume = 41,
      pages = {1767-1777},
      annote = {
    
    }}
    
    
  7. feist-09_motion-frames-syntax.pdf
  8. gennari-tecumsehFitch-09cogn_motion-events-in-lang-cognition.pdf
  9. gliozzi-hu-plunkett-09_labels-as-features-not-names-for-infant-categorization-neurocomputational-approach.pdf
  10. hespos-piccin-09_spatial-categories-influenced-by-appearance-and-language.pdf
  11. hespos-saylor-grossman-09_infant-parsing-of-continuous-actions.pdf
  12. horst-oakes-09_toddlers-categorize-adaptively-for-similar-objects.pdf
  13. johnston-williams-09_formal-framework-for-symbol-grounding.pdf
  14. kadosh-walsh-09_numerical-repr-in-parietal-lobes-abstract-or-not.pdf
  15. leo-simion-09_face-recognition-at-birth.pdf
  16. liebal-carpenter-tomasello-09_shared-experience-in-infant-gesture-interpretn.pdf
  17. luo-beck-09_infants-reasoning-about-others-perception.pdf
  18. luo-johnson-09_caregiver-attention-in-action-goal-recognition.pdf
  19. mcmurray-aslin-toscano-09_phonetic-category-learning-computational.pdf
  20. quinn-doran-09_infant-attention-in-categorizing-dogs-cats-gaze-at-heads.pdf
  21. regier-kay-09_language-thought-and-color-Whorf-was-half-right.pdf
  22. ristic-kingstone-09_attentional-development-reflexive-vs-volitional.pdf
  23. roseberrry-hirshPashek-09_live-actions-help-3yr-olds-learn-verbs-better-than-video.pdf
  24. rowe-goldinMeadow-09_early-gesture-predicts-early-language.pdf
  25. sobel-tenenbaum-gopnik-04_childrens-causal-inferences.pdf
  26. soderstrom-conwell-09_learner-as-statistician-computational-lang-acq.pdf
  27. xu-tenenbaum-07psycRev_word-learning-as-bayesian.pdf
  28. Yu-Smith-Pereira-icdl08_world-from-toddlers-point-of-view.pdf