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)


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)

Alessandro Treves, SISSA, Italy
Peter Latham, UCL, UK
Remi Monasson, ENS, France
Liam Paninski, Columbia University, USA
Sara Solla, Northwestern University, USA
Andrew Saxe, UCL, UK
Barry Richmond, NIH, USA
Juan Gallego, Imperial College, UK

Inés Samengo, Balseiro Institute, Argentina
Gaute Einevoll, University of Oslo, Norway
Moritz Helias, Juelich, Germany

Peter Dayan, Tübingen, Germany

Nicolai Waniek, NTNU, Norway

Li Zhaoping, MPI, Germany
Ida Momennejad, Microsoft Research, USA

Soledad Gonzalo Cogno, NTNU, Norway

Asgeir Koblo-Flatmoen, 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 apologize for this and we are exploring alternatives. At the very least, we expect recorded versions for most of the talks will become available on YouTube after the school ends.

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Applications for 2022 are 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 separate fees for the school but, in general, the travel costs and the costs for accommodation and food at the venue should be paid by the students. We estimate these costs to total 15500 NOK/1600 EUR, not including alcohol.

FENS and IBRO-PERC provide 4 stipends of 750 EUR for Master and/or PhD students interested in attending this course. Through these stipends FENS and IBRO-PERC aim to encourage and promote international experience of students; hence, students that are currently residing or studying in Norway are not eligible for a FENS and IBRO-PERC stipend for this course.

Besides these stipends, there is additional funding available to cover the accommodation and food expenses for some students. You will be notified about available funding if your application is accepted.

NRSN students: Travel, accommodations and boarding will be covered for NRSN students. There are no fees for the school.

Travel restrictions to enter Norway are constantly evolving. If you need to travel from abroad to participate in the school, please check these websites for the current rules: GovernmentUDI, Helse Norge, FHI.  


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.