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  1. Categorical Perception of Facial Expressions: Categories and their Internal Structure.Beatrice de Gelder, Jan-Pieter Teunisse & Philip J. Benson - 1997 - Cognition and Emotion 11 (1):1-23.
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  • Perception of speech reflects optimal use of probabilistic speech cues.Meghan Clayards, Michael K. Tanenhaus, Richard N. Aslin & Robert A. Jacobs - 2008 - Cognition 108 (3):804-809.
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  • Categorical effects in the perception of faces.James M. Beale & Frank C. Keil - 1995 - Cognition 57 (3):217-239.
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  • The effect of subphonetic differences on lexical access.Jean E. Andruski, Sheila E. Blumstein & Martha Burton - 1994 - Cognition 52 (3):163-187.
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  • Distinctive features, categorical perception, and probability learning: Some applications of a neural model.James A. Anderson, Jack W. Silverstein, Stephen A. Ritz & Randall S. Jones - 1977 - Psychological Review 84 (5):413-451.
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  • Vision as Bayesian inference: analysis by synthesis?Alan Yuille & Daniel Kersten - 2006 - Trends in Cognitive Sciences 10 (7):301-308.
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  • Facial expression megamix: Tests of dimensional and category accounts of emotion recognition.Andrew W. Young, Duncan Rowland, Andrew J. Calder, Nancy L. Etcoff, Anil Seth & David I. Perrett - 1997 - Cognition 63 (3):271-313.
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  • Vision: Variations on Some Berkeleian Themes.Robert Schwartz & David Marr - 1985 - Philosophical Review 94 (3):411.
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  • Shortlist B: A Bayesian model of continuous speech recognition.Dennis Norris & James M. McQueen - 2008 - Psychological Review 115 (2):357-395.
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  • Phonological Abstraction in the Mental Lexicon.James M. McQueen, Anne Cutler & Dennis Norris - 2006 - Cognitive Science 30 (6):1113-1126.
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  • Gradient effects of within-category phonetic variation on lexical access.Bob McMurray, Michael K. Tanenhaus & Richard N. Aslin - 2002 - Cognition 86 (2):B33-B42.
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  • Infant sensitivity to distributional information can affect phonetic discrimination.Jessica Maye, Janet F. Werker & LouAnn Gerken - 2002 - Cognition 82 (3):B101-B111.
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  • The discrimination of speech sounds within and across phoneme boundaries.Alvin M. Liberman, Katherine Safford Harris, Howard S. Hoffman & Belver C. Griffith - 1957 - Journal of Experimental Psychology 54 (5):358.
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  • The discrimination of relative onset-time of the components of certain speech and nonspeech patterns.A. M. Liberman, Katherine S. Harris, Jo Ann Kinney & H. Lane - 1961 - Journal of Experimental Psychology 61 (5):379.
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  • Color naming universals: The case of Berinmo.Paul Kay & Terry Regier - 2007 - Cognition 102 (2):289-298.
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  • A perceptual interference account of acquisition difficulties for non-native phonemes.Paul Iverson, Patricia K. Kuhl, Reiko Akahane-Yamada, Eugen Diesch, Yoh'ich Tohkura, Andreas Kettermann & Claudia Siebert - 2003 - Cognition 87 (1):B47-B57.
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  • Spatial categories and the estimation of location.Janellen Huttenlocher, Larry V. Hedges, Bryce Corrigan & L. Elizabeth Crawford - 2004 - Cognition 93 (2):75-97.
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  • Altering object representations through category learning.Robert L. Goldstone, Yvonne Lippa & Richard M. Shiffrin - 2001 - Cognition 78 (1):27-43.
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  • Categorical perception of facial expressions.Nancy L. Etcoff & John J. Magee - 1992 - Cognition 44 (3):227-240.
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  • Basic Color Terms: Their Universality and Evolution.Brent Berlin & Paul Kay - 1991 - Center for the Study of Language and Information.
    The work reported in this monograph was begun in the winter of 1967 in a graduate seminar at Berkeley. Many of the basic data were gathered by members of the seminar and the theoretical framework presented here was initially developed in the context of the seminar discussions. Much has been discovered since1969, the date of original publication, regarding the psychophysical and neurophysical determinants of universal, cross-linguistic constraints on the shape of basic color lexicons, and something, albeit less, can now also (...)
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  • Psychophysical and cognitive aspects of categorical perception:A critical overview.Stevan Harnad - unknown
    There are many entry points into the problem of categorization. Two particularly important ones are the so-called top-down and bottom-up approaches. Top-down approaches such as artificial intelligence begin with the symbolic names and descriptions for some categories already given; computer programs are written to manipulate the symbols. Cognitive modeling involves the further assumption that such symbol-interactions resemble the way our brains do categorization. An explicit expectation of the top-down approach is that it will eventually join with the bottom-up approach, which (...)
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  • Measurement and modeling of depth cue combination: In defense of weak fusion.M. S. Landy, L. T. Maloney, E. B. Johnston & M. Young - 1995 - Vision Research 35:389--412.
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  • Performing Bayesian inference with exemplar models.Lei Shi, Naomi H. Feldman & Thomas L. Griffiths - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 745--750.
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  • The effect of the internal structure of categories on perception.Todd M. Gureckis & Robert L. Goldstone - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 1876--1881.
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