Abstract
Although perceptual categorisation has been studied extensively in psychology, response times in categorisation tasks have only recently become an important research topic (e.g., [1,2,3,4,5,6,7,8,9]). In this article, we propose a connectionist model of categorisation RT, called CONCAT, which aims to provide a joint account of response times and choice proportions in binary classification tasks. First, we outline the basic principles of the model. Next, we present a perceptual categorisation experiment and apply CONCAT to the results.
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© 1999 Springer-Verlag London Limited
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Peebles, D., Lamberts, K. (1999). A Connectionist Model of Categorization Response Times. In: Heinke, D., Humphreys, G.W., Olson, A. (eds) Connectionist Models in Cognitive Neuroscience. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0813-9_20
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DOI: https://doi.org/10.1007/978-1-4471-0813-9_20
Publisher Name: Springer, London
Print ISBN: 978-1-85233-052-1
Online ISBN: 978-1-4471-0813-9
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