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- W2045016642 abstract "Previously, the authors introduced a stimulus–response scheme that supports plastic variation of synapse weights in chaotic neural networks, and analyzed how memory formation evolved under external stimulation. In this paper, the same analysis is applied to stochastic neural networks with different dynamics, and the obtained results are compared to those for chaotic networks to examine the influence exerted by dynamic parameters on the memorization process. In experiments, chaotic networks proved to be more efficient than stochastic networks. This is indicative of functionality of neural chaos in stimulus–response scheme that is close to natural learning, while further experiments are required to confirm the generality of this conclusion. © 2001 Scripta Technica, Syst Comp Jpn, 32(6): 29–35, 2001" @default.
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- W2045016642 date "2001-01-01" @default.
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- W2045016642 title "Effects of neuronal dynamics on memory storing in stimulus-response scheme model" @default.
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- W2045016642 doi "https://doi.org/10.1002/scj.1031" @default.
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