Alireza Valizadeh, Institute for Advanced Studies in Basic Sciences, Zanjan, Iran) | Neural oscillations and information transfer in brain networks

Abstract

The flexibility of the information routing and dynamic effective connectivity is a consequence of the multistability of the collective dynamics of the brain networks. A single structural connectivity can support a plenty of degenerate dynamical states at each, a special pattern of information transfer between the nodes is observed. Neuronal collective oscillations are hypothesized to provide such a basis for the dynamic communication between brain regions. Several lines of experimental evidences and theoretical arguments indicate that the phase relations between the oscillations of different brain regions can alter effective connectivity by modulating the gain of mutual influence between them.

In this talk I will review the existing theories on the mechanism of the generation of neural oscillations and their possible role in providing a dynamic effective communication network. Then I suggest a mechanism to control the effective links for information transfer in neural networks based on the theory of coupled dynamical systems.