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How to Compare Two Quantities? A Computational Model of Flutter Discrimination

Ghent University, Belgium

Reprint requests should be sent to Tom Verguts, Department of Psychology, H. Dunantlaan 2, 9000 Ghent, Belgium, or via e-mail: Tom.Verguts{at}UGent.be.

A task that has been intensively studied at the neural level is flutter discrimination. I argue that flutter 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.

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