Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2025-10-19 15:30
Cross-language Encoding and Decoding of Semantic Brain Representations Using Annotations Generated by Multimodal Large Language Models
Atsuya Kawamoto (The Univ of Osaka), Yuki Kobayashi, Wang Jiaxin, Satoshi Nishida (NICT) NC2025-42
Abstract (in Japanese) (See Japanese page) 
(in English) Previous studies have attempted to predict brain responses based on the semantic information of visual stimuli (encoding) and to decode semantic information from brain activity (decoding), contributing greatly to the investigation of semantic representations in the brain. However, extracting semantic information from visual stimuli requires human-written descriptive annotations, which demand considerable time and effort. In this study, we aimed to streamline research on the encoding and decoding of semantic brain representations by utilizing descriptions automatically generated by multimodal large language models (MLLMs). We demonstrated that encoding and decoding can be performed with comparable accuracy to those using human-written annotations. Furthermore, similar levels of accuracy were achieved across different languages—Japanese, English, and Chinese. These findings suggest that the use of MLLMs can accelerate research on semantic brain representations and contribute to the exploration of cross-linguistic differences in semantic processing and the development of multilingual brain decoding.
Keyword (in Japanese) (See Japanese page) 
(in English) ssemantic brain representations / annotations / multimodal large language models / prediction of brain responses / multilingual brain decoding / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 205, NC2025-42, pp. 83-88, Oct. 2025.
Paper # NC2025-42 
Date of Issue 2025-10-11 (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 NC2025-42

Conference Information
Committee NC MBE  
Conference Date 2025-10-18 - 2025-10-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Tohoku University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) NC, ME, etc. 
Paper Information
Registration To NC 
Conference Code 2025-10-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Cross-language Encoding and Decoding of Semantic Brain Representations Using Annotations Generated by Multimodal Large Language Models 
Sub Title (in English)  
Keyword(1) ssemantic brain representations  
Keyword(2) annotations  
Keyword(3) multimodal large language models  
Keyword(4) prediction of brain responses  
Keyword(5) multilingual brain decoding  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Atsuya Kawamoto  
1st Author's Affiliation The University of Osaka/NICT CiNet (The Univ of Osaka)
2nd Author's Name Yuki Kobayashi  
2nd Author's Affiliation NICT CiNet/Ritsumeikan University/The University of Osaka (NICT)
3rd Author's Name Wang Jiaxin  
3rd Author's Affiliation NICT CiNet (NICT)
4th Author's Name Satoshi Nishida  
4th Author's Affiliation NICT CiNet/The University of Osaka/Hokkaido University/Ministry of Internal Affairs and Communications (NICT)
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2025-10-19 15:30:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2025-42 
Volume (vol) vol.125 
Number (no) no.205 
Page pp.83-88 
#Pages 6 
Date of Issue 2025-10-11 (NC) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan