The University of Southampton
University of Southampton Institutional Repository

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
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
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.

Text cparticle_May11_updatefromCT_SH_2 - Author's Original
Download (1MB)

More information

In preparation date: 2018

Identifiers

Local EPrints ID: 420868
URI: https://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

Catalogue record

Date deposited: 17 May 2018 16:30
Last modified: 06 Jun 2018 13:06

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×