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Designing spontaneous behavioral switching via chaotic itinerancy

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Preprint 13 Nov 2020Embargo end date: 01 Jan 2020 English Publisher:American Association for the Advancement of Science (AAAS)Journal:Science Advances, volume 6 (eissn: 2375-2548, Copyright policy )
Authors: Katsuma Inoue; Kohei Nakajima; Yasuo Kuniyoshi;

doi: 10.1126/sciadv.abb3989 , 10.48550/arxiv.2002.08332

pmid: 33177080

pmc: PMC7673744

arXiv: 2002.08332

Designing spontaneous behavioral switching via chaotic itinerancy

Abstract

An approach based on reservoir computing enables design of chaotic itinerancy reproducibly in a high-dimensional chaotic system.

Related Organizations
Keywords

FOS: Computer and information sciences, Computer Science - Robotics, FOS: Mathematics, FOS: Physical sciences, Dynamical Systems (math.DS), Mathematics - Dynamical Systems, Robotics (cs.RO), Adaptation and Self-Organizing Systems (nlin.AO), Nonlinear Sciences - Adaptation and Self-Organizing Systems, Research Articles

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 43
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
43
Top 10%
Top 10%
Top 10%
Green
gold