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  1. Decoding the Brain: Neural Representation and the Limits of Multivariate Pattern Analysis in Cognitive Neuroscience.J. Brendan Ritchie, David Michael Kaplan & Colin Klein - 2019 - British Journal for the Philosophy of Science 70 (2):581-607.
    Since its introduction, multivariate pattern analysis, or ‘neural decoding’, has transformed the field of cognitive neuroscience. Underlying its influence is a crucial inference, which we call the decoder’s dictum: if information can be decoded from patterns of neural activity, then this provides strong evidence about what information those patterns represent. Although the dictum is a widely held and well-motivated principle in decoding research, it has received scant philosophical attention. We critically evaluate the dictum, arguing that it is false: decodability is (...)
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  • Decoding the Brain: Neural Representation and the Limits of Multivariate Pattern Analysis in Cognitive Neuroscience.J. Brendan Ritchie, David Michael Kaplan & Colin Klein - 2016 - British Journal for the Philosophy of Science:axx023.
    Since its introduction, multivariate pattern analysis, or ‘neural decoding’, has transformed the field of cognitive neuroscience. Underlying its influence is a crucial inference, which we call the decoder’s dictum: if information can be decoded from patterns of neural activity, then this provides strong evidence about what information those patterns represent. Although the dictum is a widely held and well-motivated principle in decoding research, it has received scant philosophical attention. We critically evaluate the dictum, arguing that it is false: decodability is (...)
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  • Logical-rule models of classification response times: A synthesis of mental-architecture, random-walk, and decision-bound approaches.Mario Fific, Daniel R. Little & Robert M. Nosofsky - 2010 - Psychological Review 117 (2):309-348.
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  • Connectionist and diffusion models of reaction time.Roger Ratcliff, Trisha Van Zandt & Gail McKoon - 1999 - Psychological Review 106 (2):261-300.
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  • An exemplar-based random walk model of speeded classification.Robert M. Nosofsky & Thomas J. Palmeri - 1997 - Psychological Review 104 (2):266-300.
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  • Logical-rules and the classification of integral dimensions: individual differences in the processing of arbitrary dimensions.Anthea G. Blunden, Tony Wang, David W. Griffiths & Daniel R. Little - 2014 - Frontiers in Psychology 5.
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  • Categorization training increases the perceptual separability of novel dimensions.Fabian A. Soto & F. Gregory Ashby - 2015 - Cognition 139 (C):105-129.
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  • Two kinds of global perceptual separability and curvature.James T. Townsend & Jesse Spencer-Smith - 2004 - In Christian Kaernbach, Erich Schröger & Hermann Müller (eds.), Psychophysics Beyond Sensation: Laws and Invariants of Human Cognition. Psychology Press. pp. 89--109.
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  • A formal theory of feature binding in object perception.F. Gregory Ashby, William Prinzmetal, Richard Ivry & W. Todd Maddox - 1996 - Psychological Review 103 (1):165-192.
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  • Processing interactions between phonology and melody: Vowels sing but consonants speak.Régine Kolinsky, Pascale Lidji, Isabelle Peretz, Mireille Besson & José Morais - 2009 - Cognition 112 (1):1-20.
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  • Testing Separability and Independence of Perceptual Dimensions with General Recognition Theory: A Tutorial and New R Package.Fabian A. Soto, Emily Zheng, Johnny Fonseca & F. Gregory Ashby - 2017 - Frontiers in Psychology 8.
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  • Information-accumulation theory of speeded categorization.Koen Lamberts - 2000 - Psychological Review 107 (2):227-260.
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