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Another ANN model for the Miyashita experiments

Published online by Cambridge University Press:  04 February 2010

Masahiko Morita
Masahiko Morita
Affiliation:
Institute of Information Sciences and Electronics, University of Tsukuba, Tsukuba, Ibaraki 305, Japan, mor@is.tsukuba.ac.jp
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Abstract

The Miyashita experiments are very interesting and the results should be examined from a viewpoint of attractor dynamics. Amit's target article shows a path toward realistic modeling by artificial neural networks (ANN), but it is not necessarily the only one. I introduce another model that can explain a substantial part of the empirical observations and makes an interesting prediction. This model consists of such units that have nonmonotonic input-output characteristics with local inhibition neurons.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 18 , Issue 4 , December 1995 , pp. 639 - 640
Copyright
Copyright © Cambridge University Press 1995

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