Nonlinear Theory and Its Applications, IEICE
Online ISSN : 2185-4106
ISSN-L : 2185-4106
Special Section on Nonlinear Science Workshop on the Journal
Functional connectivity analysis on hierarchical reservoir computing model
Yoshihiro YonemuraYuichi Katori
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2022 Volume 13 Issue 2 Pages 446-451

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Abstract

The human brain performs intelligent behavior with its hierarchical neural structure. In the past years, the relationship among different brain areas and their roles have been widely studied. In particular, functional connectivity has been used to discuss mechanisms that perform information processing in the brain. Alternatively, computational models have also been used to reveal the mechanisms. Reservoir computing is one of the models that simulate the dynamical process of the brain. The purpose of this paper is to apply the functional connectivity analysis to the reservoir computing model. This approach will contribute to comparing the computational model with the neurophysiological study.

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© 2022 The Institute of Electronics, Information and Communication Engineers
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