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Noise-memory induced excitability and pattern formation in oscillatory neural models

  • We report a noise-memory induced phase transition in an array of oscillatory neural systems, which leads to the suppression of synchronous oscillations and restoration of excitable dynamics. This phenomenon is caused by the systematic contributions of temporally correlated parametric noise, i.e., possessing a memory, which stabilizes a deterministically unstable fixed point. Changing the noise correlation time, a reentrant phase transition to noise- induced excitability is observed in a globally coupled array. Since noise-induced excitability implies the restoration of the ability to transmit information, associated spatiotemporal patterns are observed afterwards. Furthermore, an analytic approach to predict the systematic effects of exponentially correlated noise is presented and its results are compared with the simulations

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Author details:Erik Glatt, Hauke Busch, Friedemann Kaiser, Alexei A. Zaikin
URL:http://pre.aps.org/
DOI:https://doi.org/10.1103/Physreve.73.026216
ISSN:1539-3755
Publication type:Article
Language:English
Year of first publication:2006
Publication year:2006
Release date:2017/03/24
Source:Physical review / E. - ISSN 1539-3755. - 73 (2006), 2, Art 026216
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik und Astronomie
Peer review:Referiert
Publishing method:Open Access
Institution name at the time of the publication:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik
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