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Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Oct;92(4):042701. doi: 10.1103/PhysRevE.92.042701. Epub 2015 Oct 1.

Coherence resonance in bursting neural networks.

Author information

1
Department of Physics, Korea University, Seoul 136-713, Korea.

Abstract

Synchronized neural bursts are one of the most noticeable dynamic features of neural networks, being essential for various phenomena in neuroscience, yet their complex dynamics are not well understood. With extrinsic electrical and optical manipulations on cultured neural networks, we demonstrate that the regularity (or randomness) of burst sequences is in many cases determined by a (few) low-dimensional attractor(s) working under strong neural noise. Moreover, there is an optimal level of noise strength at which the regularity of the interburst interval sequence becomes maximal-a phenomenon of coherence resonance. The experimental observations are successfully reproduced through computer simulations on a well-established neural network model, suggesting that the same phenomena may occur in many in vivo as well as in vitro neural networks.

PMID:
26565266
DOI:
10.1103/PhysRevE.92.042701
[Indexed for MEDLINE]

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