[Comp-neuro] Post-doctoral Position in Computational Neuroscience
Pierre.Kornprobst at sophia.inria.fr
Wed Jan 20 11:07:04 CET 2010
*Post-doctoral Position in Computational Neuroscience at INRIA*
*Title: Bio-inspired image and video compression schemes*
*Supervised by* Pierre Kornprobst, INRIA Researcher
The INRIA, Neuromathcomp Project Team is looking for highly motivated
candidates to work in the field of computational neuroscience with a
focus on information theory. This work is to provide strong basis to
conceive novel bio-inspired video compression schemes based on realistic
spiking retinal simulators. It is a very challenging and motivating
subject for two main reasons: The first is that video compression
techniques are now essential for most standart equipments such as HDTV
and DVD, and that recent technical progress allow us to imagine more
elaborated coding schemes. The second is that neuroscience and recent
discoveries about the nervous system could be a source of inspiration to
propose new ideas, especially if one is able to better understand the
statistics of spike trains.
The first goal will be to better define for a spiking retinal simulator
to be "realistic". To do so, we will start from the Virtual Retina
simulator, which is a large-scale spiking simulator developed in the
team (see ). Virtual Retina already proved its capacity to reproduce
accurately several retinal cells behaviors such as contrast gain
control. We want to extend this validation to additional retinal cells
behaviors by comparing the statistics of simulated and real spike trains
thanks to statistical tools developed in the team (see ). Based on
these results and, we will consider to make the parameters of the
simulator evolve according to plasticity rules (see ).
The second goal will be to investigate decoding strategies based on
simulated realistic spike trains obtained from the Virtual Retina. This
work will start from some recent efforts from the team to understand how
to "invert" retinal operations when still images are presented (see
[4,5]) and it will be based on other related contribution not
necessarily focus on the visual system such as .
Successful candidate is expected to interact with several researchers
and PhD students coming from different disciplines and already working
on the different aspects mentioned above. Mainly, the candidate will
interact with Bruno Cessac (theoretical physics and mathematics), Marc
Antonini (electrical engineering), and Pierre Kornprobst (mathematics
and computational neuroscience). Also, other interactions corresponding
to current proposals will be encouraged, for example with Adrian
Palacios and Institut de la Vision.
 Virtual Retina: A biological retina model and simulator, with
contrast gain control A. Wohrer and P. Kornprobst, Journal of
Computational Neuroscience, Volume 26:2, pp. 219-249 (2009)
 ENAS: Event neural assembly Simulation
 How Gibbs distributions may naturally arise from synaptic adaptation
mechanisms, B. Cessac, H. Rostro, J.C. Vasquez, T. Viéville, Journal of
Statistical Physics, 136, (3), 565-602 (2009).
 Retinal filtering and image reconstruction, A. Wohrer, P. Kornprobst
and M. Antonini, INRIA Research report no 6960, 2009
 A novel bio-inspired static image compression scheme for noisy data
transmission over low-bandwidth channels, K. Masmoudi, M. Antonini, P.
Kornprobst and L. Perrinet, ICASSP 2010, to appear.
 Spikes: Exploring the Neural Code. F Rieke, D Warland, R de Ruyter
van Steveninck & W Bialek (MIT Press, Cambridge, 1997)
*Deadline to apply: February, 20*
*To know more*, please check job offers in the Neuromathcomp project
team website [http://www-sop.inria.fr/neuromathcomp]
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