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Paper Abstract and Keywords
Presentation 2021-03-15 10:05
Analysis of spike time series characteristics of spiking neuron model with rectangular threshold signal
Hiroyuki Kawasaki, Yusuke Matsuoka (NIYT) NLP2020-57
Abstract (in Japanese) (See Japanese page) 
(in English) This Paper considers the spiking neuron with a rectangular threshold signal. The state of this neuron repeats integrate-and-fire dynamics and the neuron outputs the spike-train sequence. We consider the characteristic of the spike-train sequence for variation of the parameters. By analyzing the dynamics in the time domain, the period of the spike-train sequence and the number of contacts with the high and low levels of the threshold signal can be theoretically derived. From the analysis results, it can be seen that the characteristics of the spike-train sequence can be obtained by sequential calculation from the given parameters.
Keyword (in Japanese) (See Japanese page) 
(in English) Neuron model / Spike-train sequence / Superstable periodic trajectory / / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 430, NLP2020-57, pp. 11-16, March 2021.
Paper # NLP2020-57 
Date of Issue 2021-03-08 (NLP) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
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)
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Conference Information
Committee NLP MSS  
Conference Date 2021-03-15 - 2021-03-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) MSS, NLP, Work In Progress (MSS only), and etc. 
Paper Information
Registration To NLP 
Conference Code 2021-03-NLP-MSS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of spike time series characteristics of spiking neuron model with rectangular threshold signal 
Sub Title (in English)  
Keyword(1) Neuron model  
Keyword(2) Spike-train sequence  
Keyword(3) Superstable periodic trajectory  
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1st Author's Name Hiroyuki Kawasaki  
1st Author's Affiliation National Institute of Technology, Yonago College (NIYT)
2nd Author's Name Yusuke Matsuoka  
2nd Author's Affiliation National Institute of Technology, Yonago College (NIYT)
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Speaker Author-1 
Date Time 2021-03-15 10:05:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2020-57 
Volume (vol) vol.120 
Number (no) no.430 
Page pp.11-16 
#Pages 6 
Date of Issue 2021-03-08 (NLP) 

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