Вестник Нижегородского университета им. Н.И. Лобачевского. Серия: Социальные науки

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Title of Article

SIGNAL PROCESSES IN THE BRAIN: MULTICHANNEL DATA PROCESSING AND VIRTUAL NEURONAL NETWORKS

Issue	3
Date	2013

Article type	scientific article	UDC	001.57.004.942
Pages	231-239	Keywords	neuronal network, synaptic connection, activation patterns, multigraph, neurites, growth cone.

Authors

Simonov Aleksandr YurevichNizhegorodskiy gosuniversitet im. N.I. Lobachevskogo; Institut prikladnoy fiziki RAN, Nizhniy Novgorod
Kastalskiy Innokentiy AlekseevichNizhegorodskiy gosuniversitet im. N.I. Lobachevskogo; Institut prikladnoy fiziki RAN, Nizhniy Novgorod
Mironov Vasiliy IvanovichNizhegorodskiy gosuniversitet im. N.I. Lobachevskogo; Institut prikladnoy fiziki RAN, Nizhniy Novgorod
Prokin Ilya SergeevichNizhegorodskiy gosuniversitet im. N.I. Lobachevskogo; Institut prikladnoy fiziki RAN, Nizhniy Novgorod
Pimashkin Aleksey SergeevichNizhegorodskiy gosuniversitet im. N.I. Lobachevskogo; Institut prikladnoy fiziki RAN, Nizhniy Novgorod
Mukhina Irina VasilevnaNizhegorodskiy gosuniversitet im. N.I. Lobachevskogo; Nizhegorodskaya gosudarstvennaya meditsinskaya akademiya
Kazantsev Viktor BorisovichNizhegorodskiy gosuniversitet im. N.I. Lobachevskogo; Institut prikladnoy fiziki RAN, Nizhniy Novgorod

Abstract

The paper presents methods of analysis of activity signals generated in cultured neuronal networks and registered by multichannel electrophysiological probes. The methods use activation patterns and correlation multigraphs which make it possible to assess the functional state of neuronal networks. The developed computer model of the growth of neuronal network structures allows one to observe the network development on the basis of biophysical mechanisms of neurite elongation and branching.

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