How to compare two quantities? A computational model of flutter discrimination.

Abstract:

:A task that has been intensively studied at the neural level is f lutter discrimination. I argue that f lutter discrimination entails a combination of a temporal assignment problem and a quantity comparison problem, and propose a neural network model of how these problems are solved. The network combines unsupervised and one-layer supervised training. The unsupervised part clusters input features (stimulus + time window) and the supervised part categorizes the resulting clusters. After training, the model shows a good fit with both neural and behavioral properties. New predictions are outlined and links with other cognitive domains are pointed out.

journal_name

J Cogn Neurosci

authors

Verguts T

doi

10.1162/jocn.2007.19.3.409

subject

Has Abstract

pub_date

2007-03-01 00:00:00

pages

409-19

issue

3

eissn

0898-929X

issn

1530-8898

journal_volume

19

pub_type

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