Controlling collective activity in a population of neurons
This event is part of the Biophysics/Condensed Matter Seminar Series.
Abstract: We suggest a method for suppression of synchrony in a globally or randomly coupled oscillator network. The method is based on the time-delayed feedback via the mean field. Having in mind possible applications for suppression of pathological rhythms in neural ensembles, we present numerical results for different models of coupled spiking and bursting neurons. We present a theory, based on the consideration of the synchronization transition as a Hopf bifurcation.
Next, we consider the main factors of imperfection of the control scheme and their influence on the suppression efficiency. Further, with the help of a realistic model of synaptically coupled population of inhibitory and excitatory neurons, we demonstrate the potential of the suppression scheme for neurophysiological applications.