Self-exciting chaos as a dynamic model for irregular neural spiking

被引：14

作者：

Baier, G ^{[1
]}

Santos, GJE ^{[1
]}

Perales, H ^{[1
]}

Rivera, M ^{[1
]}

Müller, M ^{[1
]}

Leder, R ^{[1
]}

Parmananda, P ^{[1
]}

机构：

[1] Univ Autonoma Estado Morelos Col Chamilpa, Fac Ciencias, Cuernavaca 62210, Morelos, Mexico

来源：

PHYSICAL REVIEW E | 2000年 / 62卷 / 06期

关键词：

D O I：

10.1103/PhysRevE.62.R7579

中图分类号：

O35 [流体力学]; O53 [等离子体物理学];

学科分类号：

070204 ; 080103 ; 080704 ;

摘要：

We introduce a nonlinear dynamical system with self-exciting chaotic dynamics. Its interspike interval return mag shows a noisy Poisson-like distribution. Spike sequences from different initial conditions are unrelated but possess the same mean frequency. In the presence of noisy perturbations, sequences started from different initial conditions synchronize. The features of the model are compared with experimental results for irregular spike sequences in neurons. Self-exciting chaos offers a mechanism for temporal coding of complex input signals.

引用

页码：R7579 / R7582

页数：4

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