About the EITN Spring School

The EITN Spring School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work.

The course is typically aimed for PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors.

The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated to these topics.
 

Four themes will be presented:

  1. Cellular models and brain signals
  2. Network models and brain circuits
  3. Mean-field and population models
  4. Whole-Brain models

Organizers: Alain Destexhe (CNRS), Matteo di Volo (Cergy Pontoise University), Albert Gidon (Larkum Lab - Humboldt-Universität zu Berlin), Viktor Jirsa (Aix-Marseille Univeristy), Spase Petkoski (Aix-Marseille Univeristy), Sacha van Albada (Forschungszentrum Jülich), Gorka Zamora Lopez (Pompeu Fabra University)


Theme 1 : Cellular models and brain signals
- Albert Gidon (Humboldt University of Berlin)
- Marja-Leena Linne (Tampere University)
- Bartosz Telenczuk
- Marcel Stimberg (Institut de la Vision, Sorbonne University, Paris)
- Renato Duarte (Jülich Forschungszentrum)
- Hermann Cuntz (Ernst Strüngmann Institute)
- Yoni Leibner (Hebrew University of Jerusalem)
- Viktor Sip (Aix-Marseille University)
- Gorka Zamora Lopez (Pompeu Fabra University, Barcelona)

> Tutor : Yoni Leibner (Hebrew University of Jerusalem)

Theme 2 : Network models and brain circuits
- Gaute Einevoll (Norwegian University of Life Sciences)
- Christian Keup (INM, Forschungszentrum Jülich)
- Anno Kurth (INM, Forschungszentrum Jülich)
- Sacha van Albada (INM, Forschungszentrum Jülich)
- Jorge Mejias (University of Amsterdam)

> Tutor : Tanguy Fardet (University of Tübingen)


Theme 3: Mean-field and population models
- Alain Destexhe (CNRS)
- David Dahmen (INM, Forschungszentrum Jülich)
- Matteo di Volo (Cergy-Pontoise University)
- Romain Veltz (INRIA Sophia Antipolis)
- Peter Robinson (University of Sydney)

> Tutor : Mallory Carlu (CNRS)

 

Theme 4 : Whole-Brain models
- Spase Petkoski (Aix-Marseille University)
- Huifang Wang (INSERM)
- Gorka Zamora Lopez (University Pumpeu Fabra, Barcelona)

> Tutors (Projects) : Viktor Sip (Aix-Marseille University) and Gorka Zamora Lopez (University Pumpeu Fabra, Barcelona)

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