Báo cáo khoa học 演講訊息

Various neuron models and their coupling behaviors have been studied extensively over the years. In this particular study, we investigate the newly proposed adaptive exponential integrate-and-fire model, because its parameters have a physiological interpretation and are of biophysical relevance to real recordings of pyramidal cells. We show that the stability of phase locked in a pulse-coupled simple network can vary, depending on the type of bifurcation which periodic spiking is produced. We also show that the speed of post-synaptic input or the reset character may play an important role in stablizing the stability as well.