Dynamical Features of Neurons and Neural Networks: Chaos, Synchronization, Rhythm, and Propagation

Neurons respond not only regularly but also irregularly to periodic stimulation depending on the stimulus strength and frequency. In the brain, field potential oscillations (rhythms) also respond not only regularly but also irregularly. These irregular responses are not stochastic, but deterministic...

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Bibliographic Details
Published inSeibutsu Butsuri Vol. 54; no. 4; pp. 195 - 200
Main Author HAYASHI, Hatsuo
Format Journal Article
LanguageEnglish
Japanese
Published The Biophysical Society of Japan General Incorporated Association 2014
Subjects
Brain
Chaos
Neuron
Nonlinear dynamics
Propagation
Rhythm
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ISSN0582-4052
1347-4219
DOI10.2142/biophys.54.195

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Summary:Neurons respond not only regularly but also irregularly to periodic stimulation depending on the stimulus strength and frequency. In the brain, field potential oscillations (rhythms) also respond not only regularly but also irregularly. These irregular responses are not stochastic, but deterministic chaos being subject to a simple nonlinear dynamical rule. This implies that neuron and neural network models described by deterministic dynamical equations reproduce even complex activities. In this review, I focus on dynamical features of neurons and neural networks such as chaos, synchronization, rhythm, and propagation. I will also mention the theta traveling wave in one direction, which would be crucial for sequence learning in the hippocampus.
ISSN:0582-4052
1347-4219
DOI:10.2142/biophys.54.195