Modeling memory: What do we learn from attractor neural networks?
Modeling memory: What do we learn from attractor neural networks?
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DOI：
10.1016/s0764-4469(97)89830-7
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发表时间：
1998-02-01
期刊：
影响因子：
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通讯作者：
Nadal, JP
中科院分区：
文献类型：
--
作者：
Brunel, N;Nadal, JP
In this paper we summarize some of the main contributions of models of recurrent neural networks with associative memory properties. We compare the behavior of these attractor neural networks with empirical data from both physiology and psychology. This type of network could be used in models with more complex functions. ((C) Academie des sciences/Elsevier, Paris.)
