Slow dynamics perspectives on the Embodied-Brain Systems Science

Shiro Yano, Takaki Maeda, Toshiyuki Kondo

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Recent researches point out the importance of the fast-slow cognitive process and learning process of self-body. Bayesian perspectives on the cognitive system also attract research attentions. The view of fast-slow dynamical system has long attracted wide range of attentions from physics to the neurobiology. In many research fields, there is a vast well-organized and coherent behavior in the multi degrees-of-freedom. This behavior matches the mathematical fact that fast-slow system is essentially described with a few variables. In this paper, we review the mathematical basis for understanding the fast-slow dynamical systems. Additionally, we review the basis of Bayesian statistics and provide a fast-slow perspective on the Bayesian inference.

Original languageEnglish
JournalNeuroscience Research
DOIs
Publication statusAccepted/In press - 2015 Sep 2

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Brain
Research
Neurobiology
Physics
Learning

Keywords

  • Bayesian statistics
  • Dimension reduction
  • Dynamical system
  • Embodied-Brain Systems Science
  • Fast-slow systems
  • Statistical learning theory

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

Slow dynamics perspectives on the Embodied-Brain Systems Science. / Yano, Shiro; Maeda, Takaki; Kondo, Toshiyuki.

In: Neuroscience Research, 02.09.2015.

Research output: Contribution to journalArticle

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