报告题目：School on Basic Knowledge of Neurosciences and Mathematics

In this series of lectures, a systematic introduction to theoretical neuroscience will be given, from the level of individual neurons and synapses to the level of large neuronal networks, spanning the range from neurobiology at the cellular level to cognitive processing. The mathematical models and methods will include: Neuron models, both biological and formal: Hodgkin-Huxley, FitzHugh-Nagumo, integrate-and-fire, theta, and Poisson neurons; Stochastic processes; Dynamical systems for pattern formation in neural dynamics, in particular synchronization; Information theory and Bayesian estimation, applications to neural signal processing and to cognitive models.

报告人：Dr. Jürgen JOST （Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany.）

报告时间：2008年10月7日——10月10日（星期二——星期五）上午9🏊：00-11：30