Associative memory with dynamic synapses

被引:91
作者
Pantic, L [1 ]
Torres, JJ [1 ]
Kappen, HJ [1 ]
Gielen, SCAM [1 ]
机构
[1] Univ Nijmegen, Dept Biophys, NL-6525 EZ Nijmegen, Netherlands
关键词
D O I
10.1162/089976602760805331
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We have examined a role of dynamic synapses in the stochastic Hopfield-like network behavior. Our results demonstrate an appearance of a novel phase characterized by quick transitions from one memory state to another. The network is able to retrieve memorized patterns corresponding to classical ferromagnetic states but switches between memorized patterns with an intermittent type of behavior. This phenomenon might reflect the flexibility of real neural systems and their readiness to receive and respond to novel and changing external stimuli.
引用
收藏
页码:2903 / 2923
页数:21
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