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Learning-induced categorical perception in a neural network model

Learning-induced categorical perception in a neural network model
Learning-induced categorical perception in a neural network model
In human cognition, the expansion of perceived between-category distances and compression of within-category distances is known as categorical perception (CP). There are several hypotheses about the causes of CP (e.g., language, learning, evolution) but no functional model. Whether CP is essential to categorisation or simply a by-product of it is not yet clear, but evidence is accumulating that CP can be induced by category learning. We provide a model for learning-induced CP as expansion and compression of distances in hidden-unit space in neural nets. Basic conditions from which the current model predicts CP are described, and clues as to how these conditions might generalize to more complex kinds of categorization begin to emerge.
1-11
Christian, Thériault
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Perez-Gay, Fernanda
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Rivas, Daniel
be9748c1-e5a6-4986-8fbe-ffa10e110b09
Harnad, Stevan
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Christian, Thériault
e5dfac75-c0f0-460b-b4ea-7819e151ca7f
Perez-Gay, Fernanda
f0c9d458-73f6-49e7-8300-2368a85f0220
Rivas, Daniel
be9748c1-e5a6-4986-8fbe-ffa10e110b09
Harnad, Stevan
442ee520-71a1-4283-8e01-106693487d8b

Christian, Thériault, Perez-Gay, Fernanda, Rivas, Daniel and Harnad, Stevan (2018) Learning-induced categorical perception in a neural network model. TopiCS in Cognitive Science, 1-11.

Record type: Article

Abstract

In human cognition, the expansion of perceived between-category distances and compression of within-category distances is known as categorical perception (CP). There are several hypotheses about the causes of CP (e.g., language, learning, evolution) but no functional model. Whether CP is essential to categorisation or simply a by-product of it is not yet clear, but evidence is accumulating that CP can be induced by category learning. We provide a model for learning-induced CP as expansion and compression of distances in hidden-unit space in neural nets. Basic conditions from which the current model predicts CP are described, and clues as to how these conditions might generalize to more complex kinds of categorization begin to emerge.

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In preparation date: 2018

Identifiers

Local EPrints ID: 420868
URI: http://eprints.soton.ac.uk/id/eprint/420868
PURE UUID: 95c69494-60ab-44bd-94b1-3f0df3325101
ORCID for Stevan Harnad: ORCID iD orcid.org/0000-0001-6153-1129

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Date deposited: 17 May 2018 16:30
Last modified: 16 Mar 2024 02:47

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Contributors

Author: Thériault Christian
Author: Fernanda Perez-Gay
Author: Daniel Rivas
Author: Stevan Harnad ORCID iD

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