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Paper Abstract and Keywords
Presentation 2021-01-21 09:40
Reconstruction of Input Signal Using Common Interspike Interval Time Series
Ei Miura, Tohru Ikeguchi (TUS) NLP2020-40
Abstract (in Japanese) (See Japanese page) 
(in English) It is not easy to observe the input signals of neurons compared to the output signals of neurons.
For this reason, several methods have been proposed to reconstruct the input signals of neurons using only the output signal of the corresponding neurons.
In this paper, we propose a method for reconstructing common input signals of neurons using recurrence plots, a nonlinear time series analysis method,
using inter spike interval time series observed from output spike trains from multiple neurons.
We use the leaky integrated-and-fire model as the mathematical neuron model to evaluate the performance of the proposed method.
As a result, we show that the proposed method using inter spike interval time series is effective to reconstruct the common input signals of multiple neurons.
Keyword (in Japanese) (See Japanese page) 
(in English) Leaky Integrated-and-Fire model / Reccurence plot / Neuron / / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 330, NLP2020-40, pp. 1-6, Jan. 2021.
Paper # NLP2020-40 
Date of Issue 2021-01-14 (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)
Download PDF NLP2020-40

Conference Information
Committee NC NLP  
Conference Date 2021-01-21 - 2021-01-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) NC，NLP 
Paper Information
Registration To NLP 
Conference Code 2021-01-NC-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Reconstruction of Input Signal Using Common Interspike Interval Time Series 
Sub Title (in English)  
Keyword(1) Leaky Integrated-and-Fire model  
Keyword(2) Reccurence plot  
Keyword(3) Neuron  
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1st Author's Name Ei Miura  
1st Author's Affiliation Tokyo University of Schience (TUS)
2nd Author's Name Tohru Ikeguchi  
2nd Author's Affiliation Tokyo University of Schience (TUS)
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Speaker Author-1 
Date Time 2021-01-21 09:40:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2020-40 
Volume (vol) vol.120 
Number (no) no.330 
Page pp.1-6 
#Pages 6 
Date of Issue 2021-01-14 (NLP) 

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