The effects of alphabet and expertise on letter perception.
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[1] Caroline Blais,et al. The spatio-temporal dynamics of visual letter recognition , 2009, Cognitive neuropsychology.
[2] J. Grainger,et al. Letter perception: from pixels to pandemonium , 2008, Trends in Cognitive Sciences.
[3] Carly J. Leonard,et al. Attentional guidance in singleton search: An examination of top-down, bottom-up, and intertrial factors , 2008 .
[4] Jean-Luc Velay,et al. Visual presentation of single letters activates a premotor area involved in writing , 2003, NeuroImage.
[5] D. Hubel,et al. Receptive fields and functional architecture of monkey striate cortex , 1968, The Journal of physiology.
[6] A. Caramazza,et al. From graphemes to abstract letter shapes: levels of representation in written spelling. , 1997, Journal of experimental psychology. Human perception and performance.
[7] Caroline Blais,et al. Features for uppercase and lowercase letter identification , 2008 .
[8] Sydney Levine,et al. The Mental Representation of Human Action , 2018, Cogn. Sci..
[9] Frédéric Gosselin,et al. Bubbles: a technique to reveal the use of information in recognition tasks , 2001, Vision Research.
[10] Rebecca Treiman,et al. Similarities Among the Shapes of Writing and Their Effects on Learning. , 2011, Written language and literacy.
[11] Miao‐kun Sun,et al. Trends in cognitive sciences , 2012 .
[12] M. Babcock,et al. Perception of dynamic information in static handwritten forms. , 1988, The American journal of psychology.
[13] Wim Fias,et al. The mental representation of ordinal sequences is spatially organized , 2003, Cognition.
[14] J. Velay,et al. The influence of writing practice on letter recognition in preschool children: a comparison between handwriting and typing. , 2005, Acta psychologica.
[15] Shinichi Nakagawa,et al. A general and simple method for obtaining R2 from generalized linear mixed‐effects models , 2013 .
[16] S. Palmer. Vision Science : Photons to Phenomenology , 1999 .
[17] G C Gilmore,et al. Multidimensional letter similarity derived from recognition errors , 1979, Perception & psychophysics.
[18] W. R. Garner,et al. Reaction time as a measure of inter- and intraobject visual similarity: Letters of the alphabet , 1979 .
[19] Jane Addams,et al. Effect of Familiarity , 1907 .
[20] Rebecca Treiman,et al. The role of letter names in the acquisition of literacy. , 2003, Advances in child development and behavior.
[21] K. James,et al. When writing impairs reading: letter perception's susceptibility to motor interference. , 2009, Journal of experimental psychology. General.
[22] Ruxandra Sireteanu,et al. Perceptual learning in visual search generalizes over tasks, locations, and eyes , 2000, Vision Research.
[23] Ulrike Hahn,et al. Phoneme similarity and confusability , 2005 .
[24] P. Weiss,et al. Visuo-spatial representations of the alphabet in synaesthetes and non-synaesthetes. , 2011, Journal of neuropsychology.
[25] K. James,et al. Letter processing automatically recruits a sensory–motor brain network , 2006, Neuropsychologia.
[26] Brenda Rapp,et al. The similarity structure of distributed neural responses reveals the multiple representations of letters , 2014, NeuroImage.
[27] D. Bub,et al. Features for Identification of Uppercase and Lowercase Letters , 2008, Psychological science.
[28] J M Loomis,et al. Analysis of tactile and visual confusion matrices , 1982, Perception & psychophysics.
[29] J. Lyons. CIRCULARITY, RELIABILITY, AND THE COGNITIVE PENETRABILITY OF PERCEPTION , 2011 .
[30] K. James,et al. The role of sensorimotor learning in the perception of letter-like forms: Tracking the causes of neural specialization for letters , 2009, Cognitive neuropsychology.
[31] J. Gibson,et al. A developmental study of the discrimination of letter-like forms. , 1962, Journal of comparative and physiological psychology.
[32] R. Baayen,et al. Mixed-effects modeling with crossed random effects for subjects and items , 2008 .
[33] Richard B. Ivry,et al. How Does Language Change Perception: A Cautionary Note , 2012, Front. Psychology.
[34] S. Dehaene,et al. The mental representation of parity and number magnitude. , 1993 .
[35] A. Oliva,et al. Dr. Angry and Mr. Smile: when categorization flexibly modifies the perception of faces in rapid visual presentations , 1999, Cognition.
[36] Shane T. Mueller,et al. Alphabetic letter identification: effects of perceivability, similarity, and bias. , 2012, Acta psychologica.
[37] D. Barr,et al. Random effects structure for confirmatory hypothesis testing: Keep it maximal. , 2013, Journal of memory and language.
[38] Venu Govindaraju,et al. Offline Arabic handwriting recognition: a survey , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[39] G. Keren,et al. Recognition models of alphanumeric characters. , 1981, Perception & psychophysics.
[40] Michèle Fabre-Thorpe,et al. Interaction of top-down and bottom-up processing in the fast visual analysis of natural scenes. , 2004, Brain research. Cognitive brain research.
[41] D Norris,et al. Merging information in speech recognition: Feedback is never necessary , 2000, Behavioral and Brain Sciences.
[42] Ian C Simpson,et al. A letter visual-similarity matrix for Latin-based alphabets , 2013, Behavior research methods.
[43] Asifa Majid,et al. The influence of memory on perception: it's not what things look like, it's what you call them. , 2009, Journal of experimental psychology. Learning, memory, and cognition.
[44] Susana T. L. Chung,et al. The dependence of crowding on flanker complexity and target-flanker similarity. , 2011, Journal of vision.
[45] Connie Qun Guan,et al. Writing strengthens orthography and alphabetic-coding strengthens phonology in learning to read Chinese , 2011 .
[46] Howard E. Egeth,et al. Differential effects of familiarity on judgments of sameness and difference , 1971 .
[47] E. Gibson,et al. Principles of Perceptual Learning and Development , 1973 .
[48] S. Dehaene,et al. How Learning to Read Changes the Cortical Networks for Vision and Language , 2010, Science.
[49] S. Thompson-Schill,et al. Conceptual Penetration of Visual Processing , 2010, Psychological science.
[50] Robert W Proctor,et al. Influence of category identity on letter matching: Conceptual penetration of visual processing or response competition? , 2012, Attention, perception & psychophysics.
[51] P. Malinowski,et al. The effect of familiarity on visual-search performance: Evidence for learned basic features , 2001, Perception & psychophysics.
[52] D. Bates,et al. Linear Mixed-Effects Models using 'Eigen' and S4 , 2015 .
[53] Fionn Murtagh,et al. Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion? , 2011, Journal of Classification.
[54] Wendy L. Braje,et al. Human efficiency for recognizing 3-D objects in luminance noise , 1995, Vision Research.
[55] P Cavanagh,et al. Familiarity and pop-out in visual search , 1994, Perception & psychophysics.
[56] N. Kanwisher,et al. PSYCHOLOGICAL SCIENCE Research Article Visual Recognition As Soon as You Know It Is There, You Know What It Is , 2022 .
[57] Allen Allport,et al. Visual attention , 1989 .
[58] P. Kellman,et al. Perceptual learning and human expertise. , 2009, Physics of life reviews.
[59] Jonathan Grainger,et al. Effects of number, complexity, and familiarity of flankers on crowded letter identification. , 2014, Journal of vision.
[60] D. Bates,et al. Fitting Linear Mixed-Effects Models Using lme4 , 2014, 1406.5823.
[61] K. James,et al. The effects of handwriting experience on functional brain development in pre-literate children , 2012, Trends in Neuroscience and Education.
[62] D. Pelli,et al. Feature detection and letter identification , 2006, Vision Research.
[63] Kenneth R. Livingston,et al. On the Interaction of Prior Knowledge and Stimulus Structure in Category Learning , 1995, The Quarterly journal of experimental psychology. A, Human experimental psychology.
[64] Robert L. Goldstone,et al. Definition , 1960, A Philosopher Looks at Sport.
[65] J. Theeuwes,et al. Top-down versus bottom-up attentional control: a failed theoretical dichotomy , 2012, Trends in Cognitive Sciences.
[66] 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.
[67] A. Caramazza,et al. From Graphemes to Abstract Letter Shapes: Levels of Representation in Written Spelling , 1997 .
[68] David B. Boles,et al. An upper- and lowercase alphabetic similarity matrix, with derived generation similarity values , 1989 .
[69] Peter A. Frensch,et al. The Role of Information Reduction in Skill Acquisition , 1996, Cognitive Psychology.
[70] A. Treisman,et al. A feature-integration theory of attention , 1980, Cognitive Psychology.
[71] L O Harvey,et al. Identification confusions among letters of the alphabet. , 1984, Journal of experimental psychology. Human perception and performance.
[72] Z. Pylyshyn. Is vision continuous with cognition? The case for cognitive impenetrability of visual perception. , 1999, The Behavioral and brain sciences.
[73] Jeremy M Wolfe,et al. Visual Attention , 2020, Computational Models for Cognitive Vision.
[74] Jonathan Grainger,et al. Inverse discrimination time as a perceptual distance for alphabetic characters , 2004 .