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Localist representation can improve efficiency for detection and counting

Barlow, H; Gardner-Medwin, A; (2000) Localist representation can improve efficiency for detection and counting. Behavioral and Brain Sciences , 23 (4) 467 - 468. 10.1017/S0140525X00223352. Green open access

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Abstract

Almost all representations have both distributed and localist aspects, depending upon what properties of the data are being considered. With noisy data, features represented in a localist way can be detected very efficiently, and in binary representations they can be counted more efficiently than those represented in a distributed way. Brains operate in noisy environments, so the localist representation of behaviourally important events is advantageous, and fits what has been found experimentally. Distributed representations require more neurons to perform as efficiently, but they do have greater versatility.

Type: Article
Title: Localist representation can improve efficiency for detection and counting
Open access status: An open access version is available from UCL Discovery
DOI: 10.1017/S0140525X00223352
Publisher version: http://dx.doi.org/10.1017/S0140525X00223352
Language: English
Additional information: © 2000 Cambridge University Press
Keywords: neural coding, representation
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
URI: https://discovery.ucl.ac.uk/id/eprint/185671
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