Noise and synaptic plasticity for encoding information in spiking neuronal networks / M. Di Volo / Cergy
De: « Matteo Di volo » <firstname.lastname@example.org>
Laboratoire de Physique Théorique et Modélisation CY Cergy Paris Université Bureau E408 e-mail: email@example.com Tel: +33 (0)1 34 25 75 11
Title: Investigate the role of noise and of synaptic plasticity for encoding information in spiking neuronal networks
Short Description: The project investigates the complex behaviour of a network of spiking neurons connected together. We plan to study the cooperation between the irregular activity of single cells (balanced networks) and spike time dependent plasticity (STDP), a biologically inspired learning rule for neural systems.
Duration & Funding: The expected duration is up to six months, the stage is paid around 560 euros per month.
Requirements for the students: Good knowledge of programmation (C or C++ (preferred) or Fortran or Python) for Physics with application to Statistical mechanics and Dynamical systems
Location: Laboratoire Physique Théorique et Modélisation (LPTM) CY Cergy Paris University, Cergy-Pontoise (FR) ——————————-
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