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An important goal of mathematical neuroscience is to develop and analyze mathematical models for neuronal activity patterns, in order to understand how they are generated and how they change when the parameters in the system are modulated. In this talk I will present some of the basic biology used in modeling the neuronal systems. I will introduce the Hodgkin-Huxley formalism, which forms the basis of models for single cells. I will discuss how we model networks consisting of coupled neurons by means of chemical synapsis. And, finally, I will show some of the activity patterns that a network of neurons can exhibit.
Gemma Huguet's Talk, Video: cluster.mpg, lcvolt.mpg, lpvolt.mpg, test.mpg.