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Synchronization of neural activity and information processing

Published online by Cambridge University Press:  01 December 1998

Roman Borisyuk ,
Galina Borisyuk  and
Yakov Kazanovich
Roman Borisyuk
Affiliation:
School of Computing, University of Plymouth, Plymouth, Devon PL4 8AA, United Kingdom borisyuk@soc.plym.ac.uk Institute of Mathematical Problems in Biology of the Russian Academy of Sciences, Pushchino, Moscow Region 142292, Russia kazanov@impb.serpukhov.su
Galina Borisyuk
Affiliation:
Institute of Mathematical Problems in Biology of the Russian Academy of Sciences, Pushchino, Moscow Region 142292, Russia kazanov@impb.serpukhov.su
Yakov Kazanovich
Affiliation:
Institute of Mathematical Problems in Biology of the Russian Academy of Sciences, Pushchino, Moscow Region 142292, Russia kazanov@impb.serpukhov.su
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Abstract

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Synchronization of neural activity in oscillatory neural networks is a general principle of information processing in the brain at both preattentional and attentional levels. This is confirmed by a model of attention based on an oscillatory neural network with a central element and models of feature binding and working memory based on multi-frequency oscillations.

Information

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 21 , Issue 6 , December 1998 , pp. 833
Copyright
© 1998 Cambridge University Press