ASYMMETRIC NEURAL NETWORKS INCORPORATING THE DALE HYPOTHESIS AND NOISE-DRIVEN CHAOS

被引：33

作者：

FUKAI, T ^{[1
]}

SHIINO, M ^{[1
]}

机构：

[1] TOKYO INST TECHNOL, DEPT APPL PHYS, MEGURO KU, TOKYO 152, JAPAN

来源：

PHYSICAL REVIEW LETTERS | 1990年 / 64卷 / 12期

关键词：

D O I：

10.1103/PhysRevLett.64.1465

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Dynamical properties of the neural networks with asymmetrical synaptic couplings respecting the Dale hypothesis are studied. The time evolution of the networks is assumed to obey stochastic dynamics of the Little type with time delay. Using a nonlinear master equation, exact equations are derived for the time evolution of the overlaps of instantaneous configuration with p embedded patterns and with the characteristic pattern representing the configuration of excitatory and inhibitory neurons. It is shown that the networks exhibit noise-driven chaotic motions in the retrieval process. © 1990 The American Physical Society.

引用

页码：1465 / 1468

页数：4

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