Many physiological measurements such as calcium or voltage-sensitive dye imaging, or local field potentials, sample neuronal activity at the scale of populations of neurons.  The appropriate description for of such mesoscopic (or macroscopic) scales is provided by population equations, which can be obtained from neural network models using mean-field techniques. 

In this workshop, we will review different mean-field approaches to neural systems, with a particular emphasis on mean-field models of spiking networks. We will attempt to design a set of constraints that such models should be used to be physiologically meaningful, aiming at providing a comparison of different mean-field approaches, as well as application of mean-field models to analyze experimental data.

Due to a limited number of seats the registration is free however mandatory.

Speakers :  

- Stephen Coombes (University of Nottingham)
- Marc de Kamps (University of Leeds)
- Alain Destexhe (CNRS UNIC EITN, Gif-sur-Yvette)
- Matteo DiVolo (CNRS UNIC EITN, Gif-sur-Yvette)
- Gaute Einevoll (NMBU, Oslo)
- Olivier Faugeras (INRIA, Nice)
- Moritz Helias (FZ Jülich)
- Viktor Jirsa (Aix-Marseille University)
- Eva Löcherbach (Cergy University)
- Francesca Mastrogiuseppe (ENS Paris)
- Maurizio Mattia (ISS Rome )
- Ernest Montbrió (University Pompeu Fabra, Barcelona)
- Gabriel Ocker (Allen Brain Institute, Seattle)
- Tilo Schwalger (EPFL, Lausanne)
- Romain Veltz (INRIA, Nice)
- Gorka Zamora-López (University Pompeu Fabra, Barcelona)