Nonresonant Parametric Amplification of Signals in Neural Networks Through the Rhythms of a Central Processor

Nonresonant Parametric Amplification of Signals in Neural Networks Through the Rhythms of a... It is shown that giant nonresonant amplification of weak external signals is a possibility in neural networks. A mechanism underlying amplification is the modulation of the threshold and other neuron parameters. In biologic networks, cortical rhythms may serve as a modulation source. This work extends the Hopfield hypothesis that some cortical rhythms are related to signal amplification. In artificial neural networks, a special central generator may serve as a modulation source. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Russian Microelectronics Springer Journals

Nonresonant Parametric Amplification of Signals in Neural Networks Through the Rhythms of a Central Processor

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Publisher
Kluwer Academic Publishers-Plenum Publishers
Copyright
Copyright © 2000 by MAIK “Nauka/Interperiodica”
Subject
Engineering; Electrical Engineering
ISSN
1063-7397
eISSN
1608-3415
D.O.I.
10.1023/A:1026679700549
Publisher site
See Article on Publisher Site

Abstract

It is shown that giant nonresonant amplification of weak external signals is a possibility in neural networks. A mechanism underlying amplification is the modulation of the threshold and other neuron parameters. In biologic networks, cortical rhythms may serve as a modulation source. This work extends the Hopfield hypothesis that some cortical rhythms are related to signal amplification. In artificial neural networks, a special central generator may serve as a modulation source.

Journal

Russian MicroelectronicsSpringer Journals

Published: Oct 8, 2004

References

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