A model of neural short-term memory for time-coded patterns

被引：0

作者：

Futami, R ^{[1
]}

Hoshimiya, N ^{[1
]}

机构：

[1] Tohoku Univ, Dept Elect Engn, Grad Sch Engn, Sendai, Miyagi 9808579, Japan

来源：

ICONIP'98: THE FIFTH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING JOINTLY WITH JNNS'98: THE 1998 ANNUAL CONFERENCE OF THE JAPANESE NEURAL NETWORK SOCIETY - PROCEEDINGS, VOLS 1-3 | 1998年

关键词：

oscillation; rebound; sequence; working memory;

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 new explanation for the usefulness of post inhibitory rebound firing (PIRF) is shown; PIRF is suitable for the delay-mechanism of neural oscillators. Using this mechanism, a spiking neural network model to detect and hold the order of time-coded action potentials is presented. The model is composed of weakly coupled neural oscillators, each of which contains paired inhibitory spiking neurons and mutual connections to elicit PIRF. The use of PIRF makes the free-running frequency of oscillators not so sensitive to the strength of mutual connection. For the computer simulations, Hodgkin-Huxley equations are utilized.

引用

页码：1281 / 1284

页数：4

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