Presentation 2002/1/21
Sequential Memory Recall Model of The Hippocampus Taking Advantage of Propagation of Neuronal Activity in CA3
Motoharu YOSHIDA, Hatsuo HAYASHI, Satoru ISHIZUKA,
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Abstract(in English) Sequential memory recall in a two-layer hippocampal network model (CA1 and CA3) was investigated. The hippocampus is known to be involved in sequential memory recall. This implies that the hippocampus may store information about links between individual memories. On the other hand, propagation of neuronal activity is often observed in the hippocampus. In this study, three memory patterns were stored as steady spatial patterns of Schaffer collateral connection weight in CA1 and information about links between these patterns was given as asymmetric structure of recurrent excitatory synaptic connection weight in CA3. This asymmetric structure produced a stream of the theta-like rhythmic activity in CA3. As a result, memory patterns in CA1 were recalled sequentially by this one-way propagation of theta-like activity in CA3.
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Keyword(in English) Hippocampus / Sequential memory / Theta-rhythm / Spatiotemporal activity / Stochastic resonance
Paper # NLP-2001-85(2002-01)
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Committee NLP
Conference Date 2002/1/21(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Sequential Memory Recall Model of The Hippocampus Taking Advantage of Propagation of Neuronal Activity in CA3
Sub Title (in English)
Keyword(1) Hippocampus
Keyword(2) Sequential memory
Keyword(3) Theta-rhythm
Keyword(4) Spatiotemporal activity
Keyword(5) Stochastic resonance
1st Author's Name Motoharu YOSHIDA
1st Author's Affiliation Department of Information Systems, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology()
2nd Author's Name Hatsuo HAYASHI
2nd Author's Affiliation Department of Brain Science and Engineering, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology
3rd Author's Name Satoru ISHIZUKA
3rd Author's Affiliation Department of Brain Science and Engineering, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology
Date 2002/1/21
Paper # NLP-2001-85(2002-01)
Volume (vol) vol.101
Number (no) 613
Page pp.pp.-
#Pages 7
Date of Issue