Mathematical Methods in Computational Neuroscience

Computational neuroscience and inference from data are disciplines that extensively use tools from mathematics and physics to understand the behavior of model neuronal networks and analyze data from real experiments. Due to its interdisciplinary nature and the complexity of the neuronal networks, the list of techniques that are borrowed from Physics and Mathematics is an extensive one. Although using tools from standard curriculum of Physics, Mathematics and Engineering is common, more advanced research requires methods and techniques that are not usually covered in any single discipline. 

To fill in this gap, this 4 week summer school covers some of the most important methods used in computational neuroscience research through both main lectures and scientific seminars.

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Organizers: Yasser Roudi and Benjamin Dunn