Quantitative infonnation transfer through layers of spiking neurons connected by Mexican-Hat-type connectivity

被引：0

作者：

Hamaguchi, K ^{[1
]}

Aihara, K ^{[1
]}

机构：

[1] Univ Tokyo, Dept Complex Sci & Engn, Grad Sch Frontier Sci, Meguro Ku, Tokyo 1138564, Japan

来源：

COMPUTATIONAL NEUROSCIENCE: TRENDS IN RESEARCH 2004 | 2004年

关键词：

synfire chain; Mexican-Hat; quantitative information;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A feedforward network with homogeneous connectivity cannot transmit quantitative information by one spike volley. In this paper, quantitative information transmission through neural layers connected by Mexican-Hat-type connectivity is examined. It is shown that the intensity of an input signal can be encoded as a size of an active region in a neural layer. (C) 2004 Elsevier B.V. All rights reserved.

引用

页码：85 / 90

页数：6