Literature DB >> 12946185

Chaotic itinerancy.

Kunihiko Kaneko1, Ichiro Tsuda.   

Abstract

Chaotic itinerancy is universal dynamics in high-dimensional dynamical systems, showing itinerant motion among varieties of low-dimensional ordered states through high-dimensional chaos. Discovery, basic features, characterization, examples, and significance of chaotic itinerancy are surveyed.

Year:  2003        PMID： 12946185     DOI： 10.1063/1.1607783

Source DB:  PubMed          Journal:  Chaos        ISSN： 1054-1500            Impact factor:   3.642


  23 in total

1.  Transitory behaviors in diffusively coupled nonlinear oscillators.

Authors:  Satoru Tadokoro; Yutaka Yamaguti; Hiroshi Fujii; Ichiro Tsuda
Journal:  Cogn Neurodyn       Date:  2011-01-20       Impact factor: 5.082

2.  Mathematical Frameworks for Oscillatory Network Dynamics in Neuroscience.

Authors:  Peter Ashwin; Stephen Coombes; Rachel Nicks
Journal:  J Math Neurosci       Date:  2016-01-06       Impact factor: 1.300

Review 3.  Inertia and memory in ambiguous visual perception.

Authors:  J B Gao; V A Billock; I Merk; W W Tung; K D White; J G Harris; V P Roychowdhury
Journal:  Cogn Process       Date:  2006-02-28

4.  Network structure of cerebral cortex shapes functional connectivity on multiple time scales.

Authors:  Christopher J Honey; Rolf Kötter; Michael Breakspear; Olaf Sporns
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-04       Impact factor: 11.205

5.  Novel tracking function of moving target using chaotic dynamics in a recurrent neural network model.

Authors:  Yongtao Li; Shigetoshi Nara
Journal:  Cogn Neurodyn       Date:  2007-10-09       Impact factor: 5.082

6.  Reaction dynamics analysis of a reconstituted Escherichia coli protein translation system by computational modeling.

Authors:  Tomoaki Matsuura; Naoki Tanimura; Kazufumi Hosoda; Tetsuya Yomo; Yoshihiro Shimizu
Journal:  Proc Natl Acad Sci U S A       Date:  2017-02-06       Impact factor: 11.205

7.  Novelty-induced memory transmission between two nonequilibrium neural networks.

Authors:  Yongtao Li; Ichiro Tsuda
Journal:  Cogn Neurodyn       Date:  2012-12-28       Impact factor: 5.082

Review 8.  Dynamic functional connectivity: promise, issues, and interpretations.

Authors:  R Matthew Hutchison; Thilo Womelsdorf; Elena A Allen; Peter A Bandettini; Vince D Calhoun; Maurizio Corbetta; Stefania Della Penna; Jeff H Duyn; Gary H Glover; Javier Gonzalez-Castillo; Daniel A Handwerker; Shella Keilholz; Vesa Kiviniemi; David A Leopold; Francesco de Pasquale; Olaf Sporns; Martin Walter; Catie Chang
Journal:  Neuroimage       Date:  2013-05-24       Impact factor: 6.556

9.  Optimal balance of the striatal medium spiny neuron network.

Authors:  Adam Ponzi; Jeffery R Wickens
Journal:  PLoS Comput Biol       Date:  2013-04-11       Impact factor: 4.475

10.  Embedding responses in spontaneous neural activity shaped through sequential learning.

Authors:  Tomoki Kurikawa; Kunihiko Kaneko
Journal:  PLoS Comput Biol       Date:  2013-03-07       Impact factor: 4.475
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