On a possible mechanism of the brain for responding to dynamical features extracted from input signals

Zengrong Liu, Guanrong Chen

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

10 Citations (Scopus)

Abstract

Based on the general theory of nonlinear dynamical systems, a possible mechanism for responding to some dynamical features extracted from input signals in brain activities is described and discussed. This mechanism is first converted to a nonlinear dynamical configuration - a generalized synchronization of complex dynamical systems. Then, some general conditions for achieving such synchronizations are derived. It is shown that dynamical systems have potentials of producing different responses for different features extracted from various input signals, which may be used to describe brain activities. For illustration, some numerical examples are given with simulation figures. © 2003 Elsevier Science Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)785-794
JournalChaos, Solitons and Fractals
Volume18
Issue number4
DOIs
Publication statusPublished - Nov 2003

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