EFFECTS OF FEATURES OF GK+(A) ON RETRIEVAL IN AUTOASSOCIATIVE NETWORKS

被引：0
|
作者：
BERNER, J
机构：
来源：
NETWORK-COMPUTATION IN NEURAL SYSTEMS | 1991年 / 2卷 / 04期
关键词：
D O I：
10.1088/0954-898X/2/4/003
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Features of a voltage- and time-dependent potassium conductance, gK + (A), were incorporated into the neuronal response function of auto-associative, attractor neural networks. Simulations showed that an increase in the magnitude of gK + (A) decreased the rate of convergence to equilibria and could markedly change the probability that the final equilibrium state of the network would most highly correlate with a stationary stimulus embedded in noise. These results may provide a framework for evaluating the functional roles of the many agents which modulate gK + (A).
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页码：361 / 369
页数：9
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