The role of invariant line junctions in object and visual word recognition

[1]  S. Dehaene,et al.  Unconsciously deciphering handwriting: Subliminal invariance for handwritten words in the visual word form area , 2010, NeuroImage.

[2]  S. Dehaene,et al.  Converging Intracranial Markers of Conscious Access , 2009, PLoS biology.

[3]  R. Baayen,et al.  Mixed-effects modeling with crossed random effects for subjects and items , 2008 .

[4]  D. Bub,et al.  Features for Identification of Uppercase and Lowercase Letters , 2008, Psychological science.

[5]  J. Grainger,et al.  Letter perception: from pixels to pandemonium , 2008, Trends in Cognitive Sciences.

[6]  Stanislas Dehaene,et al.  Reading normal and degraded words: Contribution of the dorsal and ventral visual pathways , 2008, NeuroImage.

[7]  Edward A. Wasserman,et al.  Pigeons and humans are more sensitive to nonaccidental than to metric changes in visual objects , 2008, Behavioural Processes.

[8]  S. Dehaene,et al.  Cultural Recycling of Cortical Maps , 2007, Neuron.

[9]  Mariano Sigman,et al.  Hierarchical Coding of Letter Strings in the Ventral Stream: Dissecting the Inner Organization of the Visual Word-Form System , 2007, Neuron.

[10]  P. Schyns,et al.  Nonaccidental Properties Underlie Shape Recognition in Mammalian and Nonmammalian Vision , 2007, Current Biology.

[11]  S. Ullman.  Object recognition and segmentation by a fragment-based hierarchy , 2007, Trends in Cognitive Sciences.

[12]  D. Pelli,et al.  Feature detection and letter identification , 2006, Vision Research.

[13]  S. Dehaene,et al.  Direct Intracranial, fMRI, and Lesion Evidence for the Causal Role of Left Inferotemporal Cortex in Reading , 2006, Neuron.

[14]  Qiong Zhang,et al.  The Structures of Letters and Symbols throughout Human History Are Selected to Match Those Found in Objects in Natural Scenes , 2006, The American Naturalist.

[15]  Shinsuke Shimojo,et al.  Character complexity and redundancy in writing systems over human history , 2005, Proceedings of the Royal Society B: Biological Sciences.

[16]  Marc Brysbaert,et al.  Lexique 2 : A new French lexical database , 2004, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[17]  Charles E Connor,et al.  Underlying principles of visual shape selectivity in posterior inferotemporal cortex , 2004, Nature Neuroscience.

[18]  Stanislas Dehaene,et al.  Specialization within the ventral stream: the case for the visual word form area , 2004, NeuroImage.

[19]  Joseph T Devlin,et al.  The myth of the visual word form area , 2003, NeuroImage.

[20]  I. Biederman,et al.  Shape Tuning in Macaque Inferior Temporal Cortex , 2003, The Journal of Neuroscience.

[21]  Michel Vidal-Naquet,et al.  Visual features of intermediate complexity and their use in classification , 2002, Nature Neuroscience.

[22]  Talma Hendler,et al.  Eccentricity Bias as an Organizing Principle for Human High-Order Object Areas , 2002, Neuron.

[23]  J. Grainger,et al.  Masked partial priming of letter perception , 2002 .

[24]  T. Hendler,et al.  Object-completion effects in the human lateral occipital complex. , 2002, Cerebral cortex.

[25]  Frédéric Gosselin,et al.  Bubbles: a technique to reveal the use of information in recognition tasks , 2001, Vision Research.

[26]  J B Poline,et al.  Cerebral mechanisms of word masking and unconscious repetition priming , 2001, Nature Neuroscience.

[27]  Steven Yantis,et al.  Masking unveils pre-amodal completion representation in visual search , 2001, Nature.

[28]  V. Lamme,et al.  The distinct modes of vision offered by feedforward and recurrent processing , 2000, Trends in Neurosciences.

[29]  S Lehéricy,et al.  The visual word form area: spatial and temporal characterization of an initial stage of reading in normal subjects and posterior split-brain patients. , 2000, Brain : a journal of neurology.

[30]  T. Poggio,et al.  Hierarchical models of object recognition in cortex , 1999, Nature Neuroscience.

[31]  M. Behrmann,et al.  Visual complexity in letter-by-letter reading: Pure alexia is not pure , 1998, Neuropsychologia.

[32]  Shimon Ullman,et al.  Visual object recognition , 1993 .

[33]  I. Biederman.  Recognition-by-components: a theory of human image understanding. , 1987, Psychological review.

[34]  David G. Lowe,et al.  Three-Dimensional Object Recognition from Single Two-Dimensional Images , 1987, Artif. Intell..

[35]  Thomas O. Binford,et al.  Inferring Surfaces from Images , 1981, Artif. Intell..

[36]  J. G. Snodgrass,et al.  A standardized set of 260 pictures: norms for name agreement, image agreement, familiarity, and visual complexity. , 1980, Journal of experimental psychology. Human learning and memory.

[37]  D. Hubel,et al.  Receptive fields and functional architecture of monkey striate cortex , 1968, The Journal of physiology.

[38]  J. Gibson,et al.  A developmental study of the discrimination of letter-like forms. , 1962, Journal of comparative and physiological psychology.

[39]  Fermín Moscoso del Prado Martín,et al.  The simultaneous effects of inflectional paradigms and classes on lexical recognition: Evidence from Serbian , 2009 .

[40]  Caroline Blais,et al.  Features for uppercase and lowercase letter identification , 2008 .

[41]  Katherine D. Kinzler,et al.  Core systems in human cognition. , 2007, Progress in brain research.

[42]  G. Rizzolatti,et al.  Evolution of human cortical circuits for reading and arithmetic : The “ neuronal recycling ” hypothesis , 2004 .

[43]  R. Harald Baayen,et al.  Statistics in Psycholinguistics: A critique of some current gold standards , 2004 .

[44]  Keiji Tanaka,et al.  Inferotemporal cortex and object vision. , 1996, Annual review of neuroscience.

[45]  J. Gibson.  The Ecological Approach to Visual Perception , 1979 .

[46]  A. Michotte,et al.  Les compléments amodaux des structures perceptives , 1964 .

[47]  Vision Research , 1961, Nature.

[48]  W. Pitts,et al.  How we know universals; the perception of auditory and visual forms. , 1947, The Bulletin of mathematical biophysics.