Phase dynamics in the biological neural networks

被引：6

作者：

Kim, S ^{[1
]}

Lee, SG ^{[1
]}

机构：

[1] Pohang Univ Sci & Technol, Dept Phys, Pohang 790784, South Korea

来源：

PHYSICA A | 2000年 / 288卷 / 1-4期

关键词：

biological neural networks; nonlinear oscillations; synchrony; phase models;

D O I：

10.1016/S0378-4371(00)00435-0

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

The simplified models of neural networks based on biophysical Hodgkin-Huxley neurons are studied with a focus on coherent-phase dynamics. In our approach, each neuron is considered as a nonlinear oscillator, and collective dynamics of a mesoscopic network of neural oscillators are studied using the methods of nonlinear dynamics. We explore the mechanisms for synchrony, clustering and their breakup in the synaptic parameter space and discuss implications to temporal aspects of neural-information processing. (C) 2000 Elsevier Science B.V. All rights reserved.

引用

页码：380 / 396

页数：17

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