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, Ines Samengo, Nicolai Waniek, Ivan Davidovich and Benjamin Dunn, Chewy (Chief Security Officer)
Tutors: Bautista Arenaza and Valdemar Olsen.
Lectures (this is not a final list)
Information theory and inference
Statistical mechanics of neural networks
Dynamics of neural networks
Invited lecturers and seminars speakers (this is not a final list and might change)
Alessandro Treves, SISSA, Italy
Sara Solla, Northwestern University, USA
Predrag Cvitanović, Georgia Tech, USA
Matteo Marsili, ICTP, Italy
Juan Gallego, Imperial College London, UK
Inés Samengo, Balseiro Institute, Argentina
Yasser Roudi, NTNU, Norway
Peter Dayan, Tübingen, Germany
Nicolai Waniek, NTNU, Norway
Li Zhaoping, MPI, Germany
Susanne Still, University of Hawaii, USA
Soledad Gonzalo Cogno, NTNU, Norway
Tor Stensola, University of Agder, Norway
Iván Davidovich, NTNU, Norway
Benjamin Dunn, NTNU, Norway
Martin Butz, University of Tübingen, Germany
Nina Miolane, UCSB, USA
Francesca Schönsberg, SISSA, Italy
Arvind Kumar, KTH, Sweden
Melvin Vaupel, NTNU, Norway
Some speakers will join in-person and others remotely. Due to administrative issues, we are currently unable to broadcast the talks openly via Zoom. We expect recorded versions for most of the talks will become available on YouTube after the school ends.
Registration for 2023 is now closed
The deadline for application was April 30th at 23:59 AoE. Results will be communicated to applicants by mid May.
We will select around 25 students to attend the school in person for its whole duration. Students should expect to be assigned a shared bedroom.
Non-NRSN students: There are no registration fees for the school. Accommodations and food (except for alcohol) will be covered by the school. Students that don't belong to NRSN will need to find their own funding to cover their travel expenses to and from Molde. Ground transportation between Molde and the Fred Kavli Science Center will be provided by the school on a pre-determined schedule on both arrival and departure days (July 10th and 28th, respectively).
NRSN students: NRSN can cover your travel expenses. Please check https://www.ntnu.edu/nrsn/grants. Accommodations and boarding will be covered by the school. There are no fees for the school.
About the Fred Kavli Science Center
The Fred Kavli Science Center is located in the family farm where Fred Kavli grew up. It is surrounded by the scenic area of Eresfjord and is a gathering place for programs that stimulate curiosity, innovation, and big ideas.