NEUROCOMPUTATION BY REACTION-DIFFUSION

被引：20

作者：

LIANG, P

机构：

[1] College of Engineering, University of California, Riverside

来源：

PHYSICAL REVIEW LETTERS | 1995年 / 75卷 / 09期

关键词：

D O I：

10.1103/PhysRevLett.75.1863

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

This Letter demonstrates the possible role nonsynaptic diffusion neurotransmission may play in neurocomputation using an artificial neural network model. A reaction-diffusion neural network model with field-based information-processing mechanisms is proposed. The advantages of nonsynaptic field neurotransmission from a computational viewpoint demonstrated in this Letter include long-range inhibition using only local interaction, nonhardwired and changeable (target specific) long-range communication pathways, and multiple simultaneous spatiotemporal organization processes in the same medium.

引用

页码：1863 / 1866

页数：4

共 23 条

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