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Neural mechanism for computing information value as abstract reward

Research Project

Project/Area Number 15K01843
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Basic / Social brain science
Research InstitutionTokyo Institute of Technology

Principal Investigator

Nakamura Kiyohiko  東京工業大学, 情報理工学院, 教授 (10172397)

Project Period (FY) 2015-04-01 – 2019-03-31
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2018: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2017: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2015: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Keywords抽象的報酬 / 情報量 / 不確実性削減 / 好奇心 / サル / 細胞集団活動 / 前頭前野 / 情報探索 / 細胞集団 / 意思決定 / 能動的学習 / エントロピー
Outline of Final Research Achievements

The desire to obtain information is a powerful motivator in daily life, as well as desires for primary rewards such as food and water. Psychological studies have presented several criteria that human subjects use to assess information . We examined which criterion the nervous system uses to assess information among the following criteria, the value of information (VOI), the probability gain , and Shannon information. We recorded the activity of about 1000 neurons from the lateral prefrontal cortex (lPFC) of two monkeys while they conducted information seeking tasks. Results: 1. A principal component analysis showed that responses of the entire populations of the recorded neurons effectively discriminated between the tasks performed. 2. Dynamics of the population responses showed that the population responses could encode the VOI longer than the probability gain, and not Shannon information. These indicate that the lPFC encodes the VOI and the probability gain to assess information.

Academic Significance and Societal Importance of the Research Achievements

ヒトは自らの外界からより多くの情報を効率良く収集する能力を持つ。この行動には複数の行動選択肢のそれぞれで得られる情報の量を評価する機能が必要である。この機能はこれまで心理学および経済学で研究されてきた。この機能の脳内機構を明らかにできれば、ヒトと同様の外界から情報を効率的に収集する情報機器を設計することができる。本研究は情報量評価の神経機構を明らかにして新しい情報処理機構の設計原理を提示するとともにヒトの情報処理に関連する疾患の機序解明の基礎的知見を与えるものである。

Report

(5 results)
  • 2018 Annual Research Report   Final Research Report ( PDF )
  • 2017 Research-status Report
  • 2016 Research-status Report
  • 2015 Research-status Report
  • Research Products

    (3 results)

All 2019 2018

All Journal Article (1 results) (of which Peer Reviewed: 1 results,  Open Access: 1 results) Presentation (2 results) (of which Int'l Joint Research: 1 results)

  • [Journal Article] Information seeking mechanism of neural populations in the lateral prefrontal cortex2019

    • Author(s)
      Nakamura Kiyohiko、Komatsu Misako
    • Journal Title

      Brain Research

      Volume: 1707 Pages: 79-89

    • DOI

      10.1016/j.brainres.2018.11.029

    • NAID

      120006599952

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Presentation] Neural mechanism for information seeking in monkey prefrontal cortex2018

    • Author(s)
      Kiyohiko Nakamura, Misako Komatsu
    • Organizer
      北米神経科学大会( (Society for Neuroscience Meeting
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 情報を探す行動中に前頭前野の神経細胞集団の応答は情報の価値を表現する2018

    • Author(s)
      Kiyohiko Nakamura, Misako Komatsu
    • Organizer
      第41回日本神経科学大会
    • Related Report
      2018 Annual Research Report

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Published: 2015-04-16   Modified: 2020-03-30  

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