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, Chue (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 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
Remi Monasson, ENS, France
Liam Paninski, Columbia University, USA
Sara Solla, Northwestern University, USA
Rava Azeredo da Silveira, IOB, Switzerland
Tatyana Sharpee, Salk Institute, USA
Matteo Marsilli, ICTP, Italy
Andrew Saxe, UCL, UK
Konrad Kording, University of Pennsylvania, USA
John Hertz, University of Copenhagen, Denmark
Barry Richmond, NIH, USA
Juan Gallego, Imperial College, UK
Anton Arkhipov, Allen Brain Institute, USA
Gaute Einevoll, University of Oslo, Norway
Moritz Helias, Juelich, Germany
Peter Dayan, Tübingen, Germany

Elena Agliari, Sapienza Univesity of Rome, 

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.

 
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The deadline for applications is 10 July 2021.

There are no fees for the school. Room and board (except for alcohol) are also covered. We only ask the non-NRSN students to cover their own travel to/from Molde, Norway.

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.

Transportation (will come soon)