Presentation 2023-03-15
Hippocampal CA3 spiking neural network model for constructing never-experienced novel path sequences on a maze task
Kensuke Takada, Katsumi Tateno,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Hippocampal neurons that represent the animal's self-location are called "place cells." In the maze task in rodents, hippocampal replays are observed in which the sequential firing of place cells during exploration is reproduced as fast synchronous firing during rest. Reverse replays that fire in the reverse order of the path also occur. Recent studies have also reported that hippocampal replays represent paths that animals never-experience during exploration, suggesting that hippocampal replays contribute to spatial learning. The mechanism of hippocampal replay has been extensively studied using neural network models. However, there is a lack of models that explain the mechanisms underlying the emergence of replay of never-experienced path. In this study, we constructed a spiking neural network of the hippocampal CA3 region and proposed a mechanism by which hippocampal replays of never-experienced paths are acquired through synaptic plasticity that occurs during exploration of a figure-8 maze. In the proposed hippocampal spiking network, the combination of forward and reverse replay results in replays of never-experienced paths.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Place cell / Hippocampal replay / Spiking neural network / Spike timing dependent plasticity
Paper # MSS2022-74,NLP2022-119
Date of Issue 2023-03-08 (MSS, NLP)

Conference Information
Committee NLP / MSS
Conference Date 2023/3/15(3days)
Place (in Japanese) (See Japanese page)
Place (in English)
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Topics (in English)
Chair Akio Tsuneda(Kumamoto Univ.) / Atsuo Ozaki(Osaka Inst. of Tech.)
Vice Chair Hiroyuki Torikai(Hosei Univ.) / Shingo Yamaguchi(Yamaguchi Univ.)
Secretary Hiroyuki Torikai(Sojo Univ.) / Shingo Yamaguchi(Gifu Univ.)
Assistant Yuichi Yokoi(Nagasaki Univ.) / Yoshikazu Yamanaka(Utsunomiya Univ.) / Masato Shirai(Shimane Univ.)

Paper Information
Registration To Technical Committee on Nonlinear Problems / Technical Committee on Mathematical Systems Science and its Applications
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Hippocampal CA3 spiking neural network model for constructing never-experienced novel path sequences on a maze task
Sub Title (in English)
Keyword(1) Place cell
Keyword(2) Hippocampal replay
Keyword(3) Spiking neural network
Keyword(4) Spike timing dependent plasticity
1st Author's Name Kensuke Takada
1st Author's Affiliation Kyushu Institute of Technology(Kyushu Inst. Tech.)
2nd Author's Name Katsumi Tateno
2nd Author's Affiliation Kyushu Institute of Technology(Kyushu Inst. Tech.)
Date 2023-03-15
Paper # MSS2022-74,NLP2022-119
Volume (vol) vol.122
Number (no) MSS-435,NLP-436
Page pp.pp.64-64(MSS), pp.64-64(NLP),
#Pages 1
Date of Issue 2023-03-08 (MSS, NLP)