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Paper Abstract and Keywords
Presentation 2026-01-29 17:00
Verification of the average information content in a predictive coding model of auditory hallucinations using spiking neurons
Chisa Hemmi, Yuichi Katori (Future Univ Hakodate.) NLP2025-112 MBE2025-52 NC2025-74
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, computational psychiatry, which aims to understand the pathology and develop treatments for neurological and psychiatric disorders by representing information processing processes in the brain using mathematical models, has become increasingly important. Among these, predictive coding has attracted attention as a computational model for explaining sensory information processing. Furthermore, a new model combining predictive coding with reservoir computing, a type of generative model, has also been proposed. Auditory hallucinations are a typical symptom of schizophrenia. Based on this computational framework, this study reproduced auditory hallucinations and compared the average information volume with that during normal speech recognition.
Keyword (in Japanese) (See Japanese page) 
(in English) Reservoir computing / Predictive coding / Spiking neuron / Auditory hallucinations / Average information content / Computational psychiatry / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 344, NLP2025-112, pp. 123-128, Jan. 2026.
Paper # NLP2025-112 
Date of Issue 2026-01-21 (NLP, MBE, NC) 
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 NLP2025-112 MBE2025-52 NC2025-74

Conference Information
Committee NC MBE NLP IEE-MBE  
Conference Date 2026-01-28 - 2026-01-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Institute of Technology, Wakamatsu Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) NC, NLP, ME, etc. 
Paper Information
Registration To NLP 
Conference Code 2026-01-NC-MBE-NLP-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Verification of the average information content in a predictive coding model of auditory hallucinations using spiking neurons 
Sub Title (in English)  
Keyword(1) Reservoir computing  
Keyword(2) Predictive coding  
Keyword(3) Spiking neuron  
Keyword(4) Auditory hallucinations  
Keyword(5) Average information content  
Keyword(6) Computational psychiatry  
Keyword(7)  
Keyword(8)  
1st Author's Name Chisa Hemmi  
1st Author's Affiliation Future University Hakodate (Future Univ Hakodate.)
2nd Author's Name Yuichi Katori  
2nd Author's Affiliation Future University Hakodate (Future Univ Hakodate.)
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Speaker Author-1 
Date Time 2026-01-29 17:00:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2025-112, MBE2025-52, NC2025-74 
Volume (vol) vol.125 
Number (no) no.344(NLP), no.345(MBE), no.346(NC) 
Page pp.123-128 
#Pages 6 
Date of Issue 2026-01-21 (NLP, MBE, NC) 

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