Neural coding in high-dimensional, non-linear systems
March 24, 2020 – March 25, 2020
UPDATE: This workshop is cancelled. More info: https://neuralcoding.sciencesconf.org/
We will discuss how neurons - leaky, stochastic channels - interact nonlinearly to entrain synchrony and resonance phenomena thereby reducing dimensionality in dynamics of the cell assemblies coding particular representations. From unconscious to conscious brain states, spontaneous neural signals increase in dimensionality. Since neural codes likely lie on low dimensional manifolds, we explore collapses in dimensionality within encoding networks as mechanisms supporting neural information specifically in conscious states.
We aim to bring together researchers in neuroscience, mathematics, physics, and computer science to explore substrates promoting self-organization of neural dynamics, toward a robust understanding of neural codes important for reverse engineering next generation biomimetic computing architectures.
The registration is free however mandatory due to a limited number of seats.
The workshop lasts a day and a half (from March 24th to March 25th until noon).
Jennifer S. Goldman (CNRS), Trang-Anh E. Nghiem (École normale supérieure de Paris), Alain Destexhe (CNRS) and Wolf Singer (Ernst Strüngmann Institute, Max Planck Society) with the support of the Paris IAS.
Preliminary list of speakers:
- Mallory Carlu (CNRS)
- Damien Depannemaecker (CNRS)
- Alain Destexhe (CNRS)
- Leon Glass (McGill University)
- Jennifer Goldman (CNRS)
- Julie Grollier (CNRS/Thales)
- Hermann Haken (Institute of Theoretical Physics, Universität Stuttgart)
- Vincent Hakim (Ecole Normale Supérieure de Paris)
- Viktor Jirsa (Aix-Marseille University)
- Trang-Anh Nghiem (Ecole Normale Supérieure de Paris)
- Maris Ozols (Department of Algorithms and Complexity, University of Amsterdam)
- Wolf Singer (Ernst Strüngmann Institute, Max Planck Society)
- David Ruelle (Institut des Hautes Etudes Scientifiques, University of Paris-Saclay)
- Nuria Tort-Colet (CNRS)
- Sacha van Albada (Forschungszentrum Jülich)
IEA de Paris, 17 quai d'Anjou, 75004 Paris