Presentation 2023-10-27
Significance of single cell recording
Nao Matsumoto, Naoki M. Tamura, Hajime Mushiake, Kazuhiro Sakamoto,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Elucidating the regions of the brain that are active in a given cognitive activity is an important mission in neuroscience. fMRI experiments using humans have greatly contributed to the identification of brain regions involved in higher brain function. However, an increase or decrease in activity alone is insufficient to elucidate the neural mechanisms that can specifically realize higher brain functions. In this study, we show the computational significance of single-cell recordings using microelectrodes while monkeys perform high-level tasks. Specifically, we demonstrate how the neuronal activity properties of the cortical supplementary motor cortex can inform reinforcement learning model building in a variety of possible implementations. This approach is expected to contribute to the reintegration of experimental physiology and machine learning.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Single-Cell Recording / Supplementary Motor Area / Reinforcement Learning
Paper # NC2023-25
Date of Issue 2023-10-20 (NC)

Conference Information
Committee NC / MBE
Conference Date 2023/10/27(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Tohoku Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English) NC, ME
Chair Hirokazu Tanaka(Tokyo City Univ.) / Hisashi Yoshida(Kinki Univ.)
Vice Chair Jun Izawa(Univ. of Tsukub) / Akinori Ueno(Tokyo Denki Univ.)
Secretary Jun Izawa(NTT) / Akinori Ueno(NAIST)
Assistant Yoshimasa Tawatsuji(Waseda Univ.) / Takato Horii(Osaka Univ.) / Akihiko Tsukahara(Tokyo Denki Univ.) / Miki Kaneko(Osaka Univ.)

Paper Information
Registration To Technical Committee on Neurocomputing / Technical Committee on ME and Bio Cybernetics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Significance of single cell recording
Sub Title (in English) Reverse engineering from supplementary motor cortex neuronal activity to reinforcement learning model
Keyword(1) Single-Cell Recording
Keyword(2) Supplementary Motor Area
Keyword(3) Reinforcement Learning
1st Author's Name Nao Matsumoto
1st Author's Affiliation Tohoku University School of Medicine(Tohoku Univ. Sch. Med.)
2nd Author's Name Naoki M. Tamura
2nd Author's Affiliation Tohoku University School of Medicine(Tohoku Univ. Sch. Med.)
3rd Author's Name Hajime Mushiake
3rd Author's Affiliation Tohoku University School of Medicine(Tohoku Univ. Sch. Med.)
4th Author's Name Kazuhiro Sakamoto
4th Author's Affiliation Tohoku Medical & Pharmaceutical University(TMPU)
Date 2023-10-27
Paper # NC2023-25
Volume (vol) vol.123
Number (no) NC-233
Page pp.pp.1-5(NC),
#Pages 5
Date of Issue 2023-10-20 (NC)