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Paper Abstract and Keywords
Presentation 2023-03-15 15:15
Hippocampal CA3 spiking neural network model for constructing never-experienced novel path sequences on a maze task
Kensuke Takada, Katsumi Tateno (Kyushu Inst. Tech.) MSS2022-74 NLP2022-119
Abstract (in Japanese) (See Japanese page) 
(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) 
(in English) Place cell / Hippocampal replay / Spiking neural network / Spike timing dependent plasticity / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 436, NLP2022-119, pp. 64-64, March 2023.
Paper # NLP2022-119 
Date of Issue 2023-03-08 (MSS, NLP) 
ISSN Online edition: ISSN 2432-6380
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reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF MSS2022-74 NLP2022-119

Conference Information
Committee NLP MSS  
Conference Date 2023-03-15 - 2023-03-17 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NLP 
Conference Code 2023-03-NLP-MSS 
Language Japanese 
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  
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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.)
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Speaker Author-1 
Date Time 2023-03-15 15:15:00 
Presentation Time 20 minutes 
Registration for NLP 
Paper # MSS2022-74, NLP2022-119 
Volume (vol) vol.122 
Number (no) no.435(MSS), no.436(NLP) 
Page p.64 
#Pages 1 
Date of Issue 2023-03-08 (MSS, NLP) 

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