6 July - 24 July 2026, Fred Kavli Knowledge Center, Eresfjord, Norway
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: Ines Samengo, Nicolai Waniek, and Ivan Davidovich
Funding acquisition and management: Soledad Gonzalo Cogno
Lectures (this is not a final list)
Information theory and inference
Statistical mechanics of neural networks
Dynamics of neural networks
Dimensionality Reduction
Invited lecturers and seminars speakers (this is not a final list and might change)
Sara Solla, Northwestern University, USA
Predrag Cvitanović, Georgia Tech, USA
Carina Curto, Brown University, USA
Soledad Gonzalo Cogno, NTNU, Norway
Jonathan Victor, Cornell University, USA
Inés Samengo, Balseiro Institute, Argentina
Stefano Fusi, Columbia University, USA
Srdjan Ostojic, École Normale Supérieure, France
Christian Machens, Champalimaud, Portugal
Nicolai Waniek, NTNU, Norway
Iván Davidovich, NTNU, Norway
Claudia Clopath, Imperial College London, UK
Yoram Burak, ELSC, Israel
Applications for 2026 are now OPEN
Applications will be accepted between February 16 and March 15, 2026. Applicants will be notified of the outcome by email by the end of April 2026.
The summer school is primarily intended for PhD students. However, Master’s students who are expected to have defended their thesis before the start of the school, as well as first-year postdoctoral researchers, are also welcome to apply.
There are no registration fees. Accommodation and meals (excluding alcoholic beverages) will be covered for all selected participants. Attendance for the full duration of the school is mandatory. Participants should expect to share a bedroom.
Ground transportation between Molde and the Fred Kavli Knowledge Center will be provided on a fixed schedule on the arrival and departure days (July 6 and July 24, respectively).
All students will need to find their own funding to cover their travel expenses from their place of residence to Molde (and back).
Supported by:
About the Fred Kavli Knowledge Center
The Fred Kavli Knowledge 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.