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Section: Partnerships and Cooperations

International Initiatives

INRIA Associate Teams

Cortina, associate team with Chile

Participants : Frédéric Alexandre, Thierry Viéville, Laurent Bougrain.

The goal of this associate team is to combine our complementary expertise, from experimental biology and mathematical models (U. de Valparaiso and U. Federico Santa-Maria) to computational neuroscience (CORTEX and NEUROMATHCOMP), in order to develop common tools for the analysis and formalization of neural coding and related sensory-motor loops. Recording and modeling spike trains from the retina neural network, an accessible part of the brain, is a difficult task that our partnership can address, what constitute an excellent and unique opportunity to work together sharing our experience and to focus in developing computational tools for methodological innovations.

Visits of International Scientists

Internships

  • NOUHA BOUJELBEN (from Feb 2011 until Jul 2011)

    • Subject: Information Reduction in the Brain

    • Institution: Ecole Nationale d'Ingénieurs de Sfax (Tunisia)

  • Juan Ignacio PORTA (from Mar 2011 until Jul 2011)

    • Subject: Randomly spiking neural fields

    • Institution: Universidad Nacional de Rosario (Argentina)

  • Mouid KESKES (from Feb 2011 until Jul 2011)

    • Subject: Modeling early vision with artificial neural networks

    • Institution: Ecole Nationale d'Ingénieurs de Tunis (Tunisia)

CONICYT-INRIA Program of Cooperation with Chile: AMVIS

Participants : Frédéric Alexandre, Thierry Viéville.

This project gathers chilean partners (U de Valparaiso and U Federico Santa-Maria) to french computational neuroscientist (CORTEX and NEUROMATHCOMP EPI). Recording and modeling non-standard retina neural network involved in sensori-motor perceptual tasks is targeted here: How visual signals are coded at earlier steps in the case of natural vision? What are their functions? What are the computational coding principles explaining (in artificial or biological system) the statistical properties of natural images?