Complex patterns arise through spontaneous symmetry breaking in dense homogeneous networks of neural oscillators.

Abstract:

:There has been much interest in understanding collective dynamics in networks of brain regions due to their role in behavior and cognitive function. Here we show that a simple, homogeneous system of densely connected oscillators, representing the aggregate activity of local brain regions, can exhibit a rich variety of dynamical patterns emerging via spontaneous breaking of permutation or translational symmetries. Upon removing just a few connections, we observe a striking departure from the mean-field limit in terms of the collective dynamics, which implies that the sparsity of these networks may have very important consequences. Our results suggest that the origins of some of the complicated activity patterns seen in the brain may be understood even with simple connection topologies.

journal_name

Sci Rep

journal_title

Scientific reports

authors

Singh R,Menon SN,Sinha S

doi

10.1038/srep22074

subject

Has Abstract

pub_date

2016-02-26 00:00:00

pages

22074

issn

2045-2322

pii

srep22074

journal_volume

6

pub_type

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