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Paper Abstract and Keywords
Presentation 2025-01-29 16:50
Evaluation of the Effect of Double Exponential Filter on Reservoir Computing Using Cultured Neuron Model
Shuma Tanaka, Yoshitaka Ishikawa (Future Univ. Hakodate), Hideyuki Kato (Oita Univ.), Hideaki Yamamoto (Tohoku Univ.), Yuichi Katori (Future Univ. Hakodate) NLP2024-104
Abstract (in Japanese) (See Japanese page) 
(in English) To elucidate the information processing mechanisms of cultured neural circuits, reservoir computing (RC) incorporating these circuits has been proposed, utilizing exponential filters in the readout process. However, previous studies have not thoroughly investigated the impact of time constant values in these exponential filters. Optimizing the time constants is therefore anticipated to enhance the computational performance of RC. In this study, we examine how the time constants of a double exponential filter influence the computational performance of RC, using a cultured neuron model. Specifically, we assess the accuracy of a speech recognition task by varying the rise and decay time constants of the double exponential filter in RC. Our findings demonstrate that selecting appropriate values for these time constants significantly improves the computational performance of RC. This study contributes to advancing the computational capabilities of RC systems leveraging cultured neuron models.
Keyword (in Japanese) (See Japanese page) 
(in English) Cultured Neurons / Reservoir Computing / Double Exponential Filter / / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 362, NLP2024-104, pp. 65-70, Jan. 2025.
Paper # NLP2024-104 
Date of Issue 2025-01-21 (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 NLP2024-104

Conference Information
Committee NC NLP  
Conference Date 2025-01-28 - 2025-01-29 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) NC, NLP, General 
Paper Information
Registration To NLP 
Conference Code 2025-01-NC-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of the Effect of Double Exponential Filter on Reservoir Computing Using Cultured Neuron Model 
Sub Title (in English)  
Keyword(1) Cultured Neurons  
Keyword(2) Reservoir Computing  
Keyword(3) Double Exponential Filter  
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1st Author's Name Shuma Tanaka  
1st Author's Affiliation Future University Hakodate (Future Univ. Hakodate)
2nd Author's Name Yoshitaka Ishikawa  
2nd Author's Affiliation Future University Hakodate (Future Univ. Hakodate)
3rd Author's Name Hideyuki Kato  
3rd Author's Affiliation Oita University (Oita Univ.)
4th Author's Name Hideaki Yamamoto  
4th Author's Affiliation Tohoku University (Tohoku Univ.)
5th Author's Name Yuichi Katori  
5th Author's Affiliation Future University Hakodate (Future Univ. Hakodate)
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Speaker Author-1 
Date Time 2025-01-29 16:50:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2024-104 
Volume (vol) vol.124 
Number (no) no.362 
Page pp.65-70 
#Pages 6 
Date of Issue 2025-01-21 (NLP) 

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