Presentation 2015-01-29
Associative memory and amplitude death of hysteresis neural networks
Kei YAMAOKA, Toshimichi SAITO,
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Abstract(in English) This paper studies effects of the amplitude death on the storage function of the hysteresis neural network. Applying the correlation-based learning, desired memories can be stored into the network. The amplitude death is a nonlinear phenomenon such that oscillatory state of neurons is changed into stable equilibrium state by coupling of the neurons. Performing basic numerical experiments, we suggest that the amplitude death can be effect to enlarge the domain of attraction to the stored memories.
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Keyword(in English) Associative Memories / Correlation Learning / Amplitude Death
Paper # NC2014-58
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Committee NC
Conference Date 2015/1/22(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Associative memory and amplitude death of hysteresis neural networks
Sub Title (in English)
Keyword(1) Associative Memories
Keyword(2) Correlation Learning
Keyword(3) Amplitude Death
1st Author's Name Kei YAMAOKA
1st Author's Affiliation EE Dept., Hosei University()
2nd Author's Name Toshimichi SAITO
2nd Author's Affiliation EE Dept., Hosei University
Date 2015-01-29
Paper # NC2014-58
Volume (vol) vol.114
Number (no) 437
Page pp.pp.-
#Pages 4
Date of Issue