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This paper explores a computational dynamic solution for epileptic seizure control. A neuronal model of epileptiform activity which is driving to periodicity, simulating seizures, is chaotified via two chaos anti-control algorithms. Anti-control of some in vivo measurements is also put to test. The perspective is that in an epileptic disorder, a transition of the state of the neuronal system from...
A simulation study has been done to address how the connectivity structure of the brain complex network relates to its dynamics and its behavioral properties. In this study, we intend to find plausible candidates of structural organization for an epileptic network capable of exhibiting its characteristic dynamics/behavior. For this purpose, a network of hippocampus CA3 neuronal population was implemented...
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