Modeling Neuronal Activity

This lecture covers various ways to model neuronal activity, including point neuron models, stochastic models, and neural field models. It explores the dynamics of neurons, response to stimuli, and the behavior of networks. The instructor discusses the firing rate of neurons, response to different inputs, and the impact of synaptic connections. The lecture also delves into the Virtual Brain project, which simulates brain activity at different scales. Examples from research, such as the Wilson and Cowan model, are used to illustrate concepts. Overall, the lecture provides insights into predicting and understanding the behavior of neurons and neural networks.