论文部分内容阅读
Computational neuroscience has experienced explosive growth over last two decades.It has helped to explain or even predict many neurophysiological phenomena in experiment over scales ranging from molecular,single cellular to neuronal circuits.As more realism is incorporated into these models,novel dynamical features often arise which further enrich our understanding of the brain.This minisymposium explores this theme by discussing recent work in the modeling of both individual neuron dynamics and network topology,focusing upon implications on network behavior and information coding.The speakers will draw particular attention to new mathematical approaches in explaining sensory processing and information propagation.