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)

Athena Akrami, UCL, UK
Alessandro Treves, SISSA, Italy
Peter Latham, UCL, UK
Simona Cocco, ENS, France (TBC)
Remi Monasson, ENS, France (TBC)
Liam Paninski, Columbia University, USA
Sara Solla, Northwestern University, USA
Rava Azeredo da Silveira, IOB, Switzerland (TBC)
Tatyana Sharpee, Salk Institute, USA (TBC)
Matteo Marsili, ICTP, Italy (TBC)
Andrew Saxe, UCL, UK
John Hertz, University of Copenhagen, Denmark (TBC)
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

Elena Agliari, Sapienza Univesity of Rome, Italy (TBC)

Li Zhaoping, MPI, Germany
Julijana Gjorgjieva, MPI, Germany (TBC)

Ida Momennejad, Microsoft Research, USA (TBC)

Carina Curto, PennState, USA (TBC)

Marianne Fyhn, UiO, Norway (TBC)

Some speakers will join in-person and others remotely. All seminars will be available for the public to attend digitally (no need to register or apply):

https://NTNU.zoom.us/j/98589653142?pwd=SnFLK0lmd2Z0bzJSOXlxbk5jTFRHQT09

Passcode: 235220

Please note that the schedule is subject to changes on short notice.

G0170421_1627810330173 (2).JPG
GOPR0562_1628344491885.JPG
5E3F6411-0D97-4BC8-ADDA-E47808EF229E.png
 
Screenshot 2020-01-24 at 13.13.19.png
FENS logo.png

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.  

LOGO IBRO DEF-02 .jpg
 

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.

Transportation (will come soon)