Prevention of Spontaneous Seizure-like Events in Both in-silico and in-vitro Epilepsy Models

In this paper, we apply the small perturbation control strategy for the prevention of seizure-like events (SLEs) characterized as lower dimensional possibly rhythmic (LPR) activities in both the coupled oscillators in-silico model and the in-vitro low magnesium rat hippocampal slice model. Utilizing the wavelet artificial neural network (WANN), state transitions towards SLEs can be predicted. Successful suppression of SLEs was achieved when brief control perturbations were applied to the field coupling portals of the coupled oscillators model and to the mossy fibers via extracellular field stimulating electrode, respectively.