Fig. 92

Data-driven model estimation. A The basic unit of a neural model is described by the mean membrane potential, v_n(t), of a neural ensemble and synaptic inputs. B, C Pre-synaptic firing rates are convolved with the excitatory/inhibitory kernel to generate membrane potential fluctuations. D The resulting membrane potential is converted to an output firing rate via a sigmoidal transform. E Electrical recording of a seizure. F Estimated gain parameters during seizure