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) |
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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) |
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Keyword(1) |
Leaky Integrated-and-Fire model |
Keyword(2) |
Reccurence plot |
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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 |
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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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