This workshop gathers theoreticians and computational neuroscientists, with researchers developing neuromorphic hardware.

We would like to review and discuss the different types of modeling approaches where the neuromorphic hardware can be determinant.

Two types of hardware will be discussed, the BrainScaleS hardware developed in Heidelberg and the SpiNNaker hardware developed in Manchester.

On the theoretical point of view, we will consider neuronal computations from single neurons up to large-scale simulations and macroscopic (mean-field) type models.

We will also consider the stochastic aspects of neuronal computations, as well as ways to explicitly consider the diversity of neuronal properties found in experiments.

Speakers
Oren Amsalem, Hebrew U
Jan Antolik, CNRS-UNIC
Ruth Benavides-Piccione, Cajal Inst.
Marc de Kamps, U. Leeds
Gustavo Deco, U. Barcelona (in video conference)
Alain Destexhe, EITN CNRS-UNIC
Markus Diesmann, Juelich
Simon Friedmann, U. Heidelberg
Jean-Marc Goaillard, U. Marseille
Andreas Hartel, U. Heidelberg
Michael Hopkins, U. Manchester
David Kappel, TU Graz
Karlheinz Meier, U. Heidelberg
Abigail Morrison, Juelich
Eilif Muller, EPFL
Paul Mueller, U. Heidelberg
Thomas Nowotny, U. Sussex
Mihai Petrovici, U. Heidelberg
Christian Roessert , EPFL
Sebastian Schmitt, U. Heidelberg
Michael Schmuker, U. Sussex
Walter Senn, U. Bern
Nathan Skene, Edinburgh U.
Etienne Tanre, INRIA
Tom Tetzlaff, Juelich
Romain Veltz, INRIA
Pierre Yger, Vision Institute