Modeling, estimation and control of neurons and neuronal networks

In this tutorial, we will introduce different models of neurons and networks of neuronal populations that are commonly used in the field of computational neuroscience. We will cover biophysical-based models of neurons and hybrid models of neural networks. We will discuss algorithms to estimate parameters of these models and describe their use in various applications including characterization of neurons in diseased networks (e.g. Parkinson´s disease, epilepsy) and the effect of deep brain stimulation control. Below is a list of 4 lectures and descriptions.