The representation of perceived shape similarity and its role for category learning in monkeys: a modeling study

Vision Research
Hans P Op de BeeckR Vogels

Abstract

Categorization models often assume an intermediate stimulus representation by units implementing "distance functions", that is, units that are activated according to the distance or similarity among stimuli. Here we show that a popular example of these models, ALCOVE, is able to account for the performance of monkeys during category learning when it takes the perceived similarity among stimuli into account. Similar results were obtained with a slightly different model (ITCOVE) that included experimentally measured tuning curves of neurons in inferior temporal (IT) cortex. These results show the intimate link between category learning and perceived similarity as represented in IT cortex.

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Citations

Nov 30, 2010·Cognition·Erica Briscoe, Jacob Feldman
Dec 1, 2009·Trends in Cognitive Sciences·Hans P Op de Beeck, Chris I Baker
Sep 17, 2011·Brain Research·Laurent Bonnasse-Gahot, Jean-Pierre Nadal
May 21, 2016·Frontiers in Neuroscience·J Brendan Ritchie, Thomas A Carlson
Feb 5, 2009·Vision Research·Greet Kayaert, Johan Wagemans
Sep 22, 2018·Journal of Cognitive Neuroscience·J Brendan Ritchie, Hans Op de Beeck
May 16, 2019·The British Journal for the Philosophy of Science·J Brendan RitchieColin Klein
Jun 2, 2021·PLoS Computational Biology·Yaniv MorgensternRoland W Fleming

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