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Paper Abstract and Keywords
Presentation 2026-01-28 11:10
AI Neuroscientist: Research Idea Generation and Data Analysis for Neuroscience
Yuna Tsuchiya, Keigo Tada, Shinji Nishimoto (UOsaka), Yu Takagi (NITech) NLP2025-86 MBE2025-26 NC2025-48
Abstract (in Japanese) (See Japanese page) 
(in English) While massive public neuroscience datasets have become available, the human cost of hypothesis generation and data analysis has also increased, creating a bottleneck in neuroscience research. In this study, we built an AI agent, “AI Neuroscientist,” that autonomously performs an end-to-end workflow—from generating and evaluating research ideas to generating and executing analysis code—given a dataset and a research objective as input. By comparing ideas produced by human researchers (Experts/Students) and multiple large language models (LLMs), we found that the distribution of ideas depends on the generating model, and that although the overall quality does not reach the Expert level, it can approach a level comparable to Students. Furthermore, as a case study, we demonstrate that AI Neuroscientist can automatically complete the full analysis pipeline for one of its proposed research themes—including implementing and executing the analysis, statistical inference, and visualization—and that the proposed research idea can be empirically evaluated through real-data analysis.
Keyword (in Japanese) (See Japanese page) 
(in English) Neuroscience / AI agent / Large language models (LLMs) / Research idea generation / Automated data analysis / fMRI / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 346, NC2025-48, pp. 19-24, Jan. 2026.
Paper # NC2025-48 
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 NLP2025-86 MBE2025-26 NC2025-48

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 NC 
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) AI Neuroscientist: Research Idea Generation and Data Analysis for Neuroscience 
Sub Title (in English)  
Keyword(1) Neuroscience  
Keyword(2) AI agent  
Keyword(3) Large language models (LLMs)  
Keyword(4) Research idea generation  
Keyword(5) Automated data analysis  
Keyword(6) fMRI  
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Keyword(8)  
1st Author's Name Yuna Tsuchiya  
1st Author's Affiliation The University of Osaka (UOsaka)
2nd Author's Name Keigo Tada  
2nd Author's Affiliation The University of Osaka (UOsaka)
3rd Author's Name Shinji Nishimoto  
3rd Author's Affiliation The University of Osaka (UOsaka)
4th Author's Name Yu Takagi  
4th Author's Affiliation Nagoya Institute of Technology (NITech)
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Speaker Author-1 
Date Time 2026-01-28 11:10:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NLP2025-86, MBE2025-26, NC2025-48 
Volume (vol) vol.125 
Number (no) no.344(NLP), no.345(MBE), no.346(NC) 
Page pp.19-24 
#Pages 6 
Date of Issue 2026-01-21 (NLP, MBE, NC) 

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