Mode dynamics of interacting neural populations by bi-orthogonal spectral decomposition.

Abstract:

:A system of coupled bistable Hopf oscillators with an external periodic input source was used to model the ability of interacting neural populations to synchronize and desynchronize in response to variations of the input signal. We propose that, in biological systems, the settings of internal and external coupling strengths will affect the behaviour of the system to a greater degree than the input frequency. While input frequency and coupling strength were varied, the spatio-temporal dynamics of the network was examined by the bi-orthogonal decomposition technique. Within this method, effects of variation of input frequency and coupling strength were analyzed in terms of global, spatial and temporal mode entropy and energy, using the spatio-temporal data of the system. We observed a discontinuous evolution of spatio-temporal patterns depending sensitively on both the input frequency and the internal and external coupling strengths of the network.

journal_name

Biol Cybern

journal_title

Biological cybernetics

authors

Schwarz J,Sieck A,Dangelmayr G,Stevens A

doi

10.1007/s004220050023

keywords:

subject

Has Abstract

pub_date

2000-03-01 00:00:00

pages

231-45

issue

3

eissn

0340-1200

issn

1432-0770

pii

00820231.422

journal_volume

82

pub_type

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