Speaker: Professor LieJune Shiau (University of Houston-Clear Lake, USA)
Title: Oscillations in an Adaptive neuronal Model
Time: 2010-06-23 (Wed.)  15:00 - 16:00
Place: Auditorium, 6 Floor, Institute of Mathematics (NTU Campus)
Abstract: Neuronal oscillations have been studied extensively over the years for the significant roles they played in the applications of neuroscience. A variety of neuronal models have been investigated to better understand brain activity and motor motions. In this study, we investigate a new type of neuronal model with adaptation, because the parameters have a physiological interpretation and are of biophysical relevance to real recordings of pyramidal cells. We show that a number of features play important roles in stabilizing the stability of synchronous and phase locked states in a simple circuit of network. These features include the speed of post-synaptic input, the reset adaptation current, the type of neuronal coupling, and particularly the type of bifurcation from which periodic spiking is emerged.
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