Nonresonance parametric signal amplification in neural networks and brain rhythms

Title:

Nonresonance parametric signal amplification in neural networks and brain rhythms

Creator:

Balkarey, Yu. I., Nagoutchev, V. O., Evtikhov, M. G., and Elinson, M. I.

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:058e7a7f-44c2-441e-a75a-139416d266d9
uuid:058e7a7f-44c2-441e-a75a-139416d266d9

Subject:

neural networks, pararnetric amplification of signals, and brain rhythms and signal amplification

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

It is shown that gigantic nonresonance pararnetric arnplification of weak external signals is possible in neural networks. The mechanisrn of amplificatiori is determined by periodic rnodulation of neuron threshold or otlier parameters. Brain rhythms can play the role of periodic rnodulation. The paper develops Hopfield hypothesis abont the connection of some brain rhythms and signál amplification. In artificial networks a special centra! generátor for pararnetric rnodulation is necessary.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2001 Volume:11 | Number:1

Harvested from:

CDK

Metadata only:

false