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2019 Fiscal Year Annual Research Report

動的かつ不確実な環境下での適応的知覚と行動に関する研究

Research Project

Project/Area Number 19F19809
Research InstitutionInstitute of Physical and Chemical Research
Host Researcher 豊泉 太郎  国立研究開発法人理化学研究所, 脳神経科学研究センター, チームリーダー (50547461)
Foreign Research Fellow BALTIERI MANUEL  国立研究開発法人理化学研究所, 脳神経科学研究センター, 外国人特別研究員
Project Period (FY) 2019-11-08 – 2022-03-31
Keywordsuncertainty / bayesian inference / closed-loop control
Outline of Annual Research Achievements

This project tackles the ongoing need for better computational models that can describe more naturalistic behaviour in humans and other agents alike. Via the inclusion of more realistic accounts of uncertainty in closed-loop environments, we propose an interdisciplinary approach to the study of perceptual and motor processes in naturalistic conditions. This approach will integrate computational models including accounts of unpredictable variations in the world and novel experiments focused on dynamic environments.
To achieve the aforementioned goal, I spent the first few months reviewing the literature to better assess the state of current modelling approaches to perceptual decision making, while trying to understand the limitations and constraints of different current experimental paradigms that necessarily limit the access to some datasets (e.g., behaviours that cannot be controlled in lab setups).

Current Status of Research Progress
Current Status of Research Progress

2: Research has progressed on the whole more than it was originally planned.

Reason

The first few months are key for literature, which I’m still conducting. At the same time, 2 conference papers were submitted and accepted.

Strategy for Future Research Activity

In the upcoming months, I will continue reviewing the literature while at the same time working on developing models of sensorimotor control that can better reflect complex perceptual processes in complex environments. For instance, starting from an analysis of existing descriptions of visual constancy, a phenomenon describing how the visual perception remains stable despite eye movements and perturbations normally disrupting visual flow, and moving to more complex models that can better describe the presence of different potential mechanisms that can, altogether, play different roles to ensure stability against different types of disturbances.
The outcomes of such projects are going to produce material to be published in both conferences focusing on the role of embodied cognition for the modelling of human behaviour and specialised journals that deal with the specifics of different aspects of human perceptual decision making.

Research Products

(3 results)

All 2020 2019

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

  • [Journal Article] A Bayesian perspective on classical control2020

    • Author(s)
      Manuel Baltieri
    • Journal Title

      arXiv.org

      Volume: 2004.10288 Pages: -

    • Open Access
  • [Journal Article] Scaling active inference2019

    • Author(s)
      Alexander Tschantz, Manuel Baltieri, Anil. K. Seth, Christopher L. Buckley
    • Journal Title

      arXiv.org

      Volume: 1911.10601 Pages: -

    • Open Access / Int'l Joint Research
  • [Presentation] Active inference for cognitive science and artificial intelligence - open questions and new challenges2020

    • Author(s)
      Manuel Baltieri
    • Organizer
      CHAIN Academic Seminars, Hokkaido University, Sapporo, Japan
    • Int'l Joint Research

URL: 

Published: 2021-01-27  

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