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

2013/05/30 by Rajeev Singh, Singh, Rajeev, Shakti N. Menon +3
Neuroscience · Computer Science · Physics and Astronomy · #Neural dynamics and brain function #Nonlinear Dynamics and Pattern Formation #stochastic dynamics and bifurcation

paper · pdf · doi:10.48550/arxiv.1305.7093

Abstract

Recent experiments have highlighted how collective dynamics in networks of\nbrain regions affect behavior and cognitive function. In this paper we show\nthat a simple, homogeneous system of densely connected oscillators representing\nthe aggregate activity of local brain regions can exhibit a rich variety of\ndynamical patterns emerging via spontaneous breaking of permutation or\ntranslational symmetry. Our results connect recent experimental findings and\nsuggest that a range of complicated activity patterns seen in the brain could\nbe explained even without a full knowledge of its wiring diagram.\n

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