2020 Fiscal Year Final Research Report
Neural mechanisms of data abstraction and deductive inference in the prefrontal cortex
| Project Area | Correspondence and Fusion of Artificial Intelligence and Brain Science |
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| Project/Area Number |
16H06571
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| Research Category |
Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
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| Allocation Type | Single-year Grants |
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| Review Section |
Complex systems
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| Research Institution | Tamagawa University |
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Principal Investigator |
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| Project Period (FY) |
2016-06-30 – 2021-03-31
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| Keywords | 前頭前野 / カテゴリー / 抽象化 / 推論 / 演繹 / カルシウムイメージング / DREADD / ニホンザル |
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| Outline of Final Research Achievements |
We recorded neuronal activity from monkey prefrontal cortex while monkeys were performing a reward inference task. Then we found that neurons in the lateral prefrontal cortex categorically code the sensory stimulus and infer the meaning of the stimulus by means of deductive process through the categorical code. Also we have developed new methods for neuroscientific experiment using monkey. We could succeed in monitoring orientation preference and receptive field of tens of V1 neurons , simultaneously, with in vivo calcium imaging and manipulating information transmission of specific connection (here, prefrontal->striatum) by means of DREADD technique.
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| Free Research Field |
神経生理学
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| Academic Significance and Societal Importance of the Research Achievements |
ヒトが新しい情報を創造する神経メカニズムはまだ良くわかっていない。このメカニズムを明らかにすることは、AIやロボットに創造させることを可能にする。我々は、サルを使って、前頭前野ニューロンが情報の抽象化を行っており、それによって演繹的な推論が可能になっていることを突き止めた。このことは、AIやITへの応用が考えられるだけでなく、精神疾患や認知症のメカニズムの理解にも貢献すると期待できる。
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