Literature DB >> 20494551

The role of chaotic resonance in cerebellar learning.

Isao T Tokuda1, Cheol E Han, Kazuyuki Aihara, Mitsuo Kawato, Nicolas Schweighofer.   

Abstract

According to the cerebellar learning hypothesis, the inferior olive neurons, despite their low firing rates, are thought to transmit high-fidelity error signals to the cerebellar cortex. "Chaotic resonance", via moderate electrical coupling between inferior olive neurons, has been proposed to realize efficient transmission of the error signal by desynchronizing spiking. Here, we first show that chaotic resonance is a robust phenomenon, as it does not depend upon the details of the inferior olive neuronal model. Second, we show that chaotic resonance enhances learning of a neural controller for fast arm movements. Furthermore, when both coupling and noise are considered simultaneously, we found that chaotic resonance widens the range of noise intensity within which efficient learning can be realized. We suggest that, from an energetic viewpoint, the spiking activity induced by chaos can be more economical than that induced by noise. Copyright 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20494551     DOI: 10.1016/j.neunet.2010.04.006

Source DB:  PubMed          Journal:  Neural Netw        ISSN: 0893-6080


  11 in total

1.  Neural circuit and its functional roles in cerebellar cortex.

Authors:  Lei Wang; Shen-Quan Liu
Journal:  Neurosci Bull       Date:  2011-06       Impact factor: 5.203

2.  Analysis of Chaotic Resonance in Izhikevich Neuron Model.

Authors:  Sou Nobukawa; Haruhiko Nishimura; Teruya Yamanishi; Jian-Qin Liu
Journal:  PLoS One       Date:  2015-09-30       Impact factor: 3.240

3.  Unveiling complexity: non-linear and fractal analysis in neuroscience and cognitive psychology.

Authors:  Tobias A Mattei
Journal:  Front Comput Neurosci       Date:  2014-02-21       Impact factor: 2.380

4.  Chaotic Resonance in Typical Routes to Chaos in the Izhikevich Neuron Model.

Authors:  Sou Nobukawa; Haruhiko Nishimura; Teruya Yamanishi
Journal:  Sci Rep       Date:  2017-05-02       Impact factor: 4.379

5.  Resonance phenomena controlled by external feedback signals and additive noise in neural systems.

Authors:  Sou Nobukawa; Natsusaku Shibata; Haruhiko Nishimura; Hirotaka Doho; Nobuhiko Wagatsuma; Teruya Yamanishi
Journal:  Sci Rep       Date:  2019-09-02       Impact factor: 4.379

6.  The Roles of the Olivocerebellar Pathway in Motor Learning and Motor Control. A Consensus Paper.

Authors:  Eric J Lang; Richard Apps; Fredrik Bengtsson; Nadia L Cerminara; Chris I De Zeeuw; Timothy J Ebner; Detlef H Heck; Dieter Jaeger; Henrik Jörntell; Mitsuo Kawato; Thomas S Otis; Ozgecan Ozyildirim; Laurentiu S Popa; Alexander M B Reeves; Nicolas Schweighofer; Izumi Sugihara; Jianqiang Xiao
Journal:  Cerebellum       Date:  2017-02       Impact factor: 3.847

Review 7.  Role of the olivo-cerebellar complex in motor learning and control.

Authors:  Nicolas Schweighofer; Eric J Lang; Mitsuo Kawato
Journal:  Front Neural Circuits       Date:  2013-05-28       Impact factor: 3.492

8.  Fractality of sensations and the brain health: the theory linking neurodegenerative disorder with distortion of spatial and temporal scale-invariance and fractal complexity of the visible world.

Authors:  Marina V Zueva
Journal:  Front Aging Neurosci       Date:  2015-07-15       Impact factor: 5.750

9.  Acoustic vibrational resonance in a Rayleigh-Plesset bubble oscillator.

Authors:  K A Omoteso; T O Roy-Layinde; J A Laoye; U E Vincent; P V E McClintock
Journal:  Ultrason Sonochem       Date:  2020-09-23       Impact factor: 7.491

10.  Electrical coupling controls dimensionality and chaotic firing of inferior olive neurons.

Authors:  Huu Hoang; Eric J Lang; Yoshito Hirata; Isao T Tokuda; Kazuyuki Aihara; Keisuke Toyama; Mitsuo Kawato; Nicolas Schweighofer
Journal:  PLoS Comput Biol       Date:  2020-07-30       Impact factor: 4.475

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