Suppression of phase synchronisation in network based on cat’s brain

We have studied the effects of perturbations on the cat’s cerebral cortex. According to the
literature, this cortex structure can be described by a clustered network. This way, we construct a
clustered network with the same number of areas as in the cat matrix, where each area is described
as a sub-network with a small-world property. We focus on the suppression of neuronal phase synchronisation
considering different kinds of perturbations. Among the various controlling interventions,
we choose three methods: delayed feedback control, external time-periodic driving, and
activation of selected neurons. We simulate these interventions to provide a procedure to suppress
undesired and pathological abnormal rhythms that can be associated with many forms of synchronisation.
In our simulations, we have verified that the efficiency of synchronisation suppression by
delayed feedback control is higher than external time-periodic driving and activation of selected
neurons of the cat’s cerebral cortex with the same coupling strengths. VC 2016 AIP Publishing LLC.