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Are single-cell data sufficient for testing neural network models?

Published online by Cambridge University Press:  04 February 2010

Ehud Ahissar
Ehud Ahissar
Affiliation:
Department of Neurobiology, The Weizmann Institute, Rehovot 76100, Israel, bnehud@wiccmail.weizmann.ac.il
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Abstract

Persistent activity can be the product of mechanisms other than attractor reverberations. The single-unit data presented by Amit cannot discriminate between the different mechanisms. In fact, single-unit data do not appear to be adequate for testing neural network models.

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Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 18 , Issue 4 , December 1995 , pp. 626 - 627
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Copyright © Cambridge University Press 1995

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