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Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE
(Joint)		 2024-03-12
10:50		 Tokyo The Univ. of Tokyo
(Primary: On-site, Secondary: Online)		 Data Description Formats for Efficient Reverse Engineering of Brain Computational Functions
Hiroshi Yamakawa, Yoshimasa Tawatsuji (Tokyo Univ.), Tatsuya Miyamoto (Waseda Univ.), Naoya Arakawa, Yuta Ashihara, Ayako Fukawa (WBAI), Koichi Takahashi (RIKEN), Yutaka Matsuo (Tokyo Univ.) NC2023-52		 In the current situation where neuroscience knowledge is still insufficient, a bidirectional design that integrates both... [more] NC2023-52
pp.53-58
NC, MBE
(Joint)		 2022-09-30
11:10		 Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)		 A hypothesis of function considering reciprocal inhibitory mechanisms in the amygdala that enable extinction learning and relapse in fear conditioning.
Tatsuya Miyamoto, Yoshimasa Tawatsuji (Waseda Univ.), Hiroshi Yamakawa (The Univ. of Tokyo) NC2022-41		 We investigated the neural circuitry of the amygdala and focused on fear conditioning, which is the most studied importa... [more] NC2022-41
pp.38-43
DE, IPSJ-DBS 2019-12-24
09:35		 Tokyo National Institute of Informatics A Book Prediction Model Based on User's Book Arrangement and It's Evaluation
Tatsuya Miyamoto, Daisuke Kitayama (Kogakuin Univ.) DE2019-21		 In recent years, the evaluation of recommender systems has focused on not only accuracy but other aspects.
This is bec... [more]		 DE2019-21
pp.1-5
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