Mathematical Methods in Computational Neuroscience

External Event - 20th Jul to 5th Aug 2022

Venue: Fred Kavli Science Center, Eresfjord, Norway

Description

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 summer school covers some of the most important methods used in computational neuroscience research through both main lectures and scientific seminars (5-6 main lectures per topic and  1-2 seminars by each invited seminar speaker) .?

Organizers: Yasser Roudi, Ivan Davidovich and Benjamin Dunn, Chewy (Chief Security Officer)

Classes

Information theory and inference 

Statistical mechanics of neural networks

Dynamics of neural networks

Dimensionality Reduction

Applications are not yet open for 2022?

We will select around 25 students to attend the school in person for its whole duration. There are no fees for the school. Travel, accommodations and board will be covered for NRSN students. There is limited funding available to cover room, board and travel expenses for non-NRSN students. Students should expect to be assigned a shared bedroom.