208 pp. per issue
8 1/2 x 11, illustrated
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Journal of Cognitive Neuroscience

March 2007, Vol. 19, No. 3, Pages 409-419
(doi: 10.1162/jocn.2007.19.3.409)
© 2007 Massachusetts Institute of Technology
How to Compare Two Quantities? A Computational Model of Flutter Discrimination
Article PDF (179.6 KB)

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.