Singh, Rajeev and Menon, Shakti N and Sinha, Sitabhra (2016) Complex patterns arise through spontaneous symmetry breaking in dense homogeneous networks of neural oscillators. In: SCIENTIFIC REPORTS, 6 .
|
PDF
Sci_Rep_6_ 22074_2016.pdf - Published Version Download (1MB) | Preview |
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.
| Item Type: | Journal Article |
|---|---|
| Publication: | SCIENTIFIC REPORTS |
| Publisher: | NATURE PUBLISHING GROUP |
| Additional Information: | Copy right for this article belongs to the NATURE PUBLISHING GROUP, MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND |
| Department/Centre: | Division of Physical & Mathematical Sciences > Physics |
| Date Deposited: | 02 Apr 2016 07:44 |
| Last Modified: | 22 Oct 2018 11:50 |
| URI: | http://eprints.iisc.ac.in/id/eprint/53547 |
Actions (login required)
 |
View Item |
