LABORATORY J.A. DIEUDONNE

UMR CNRS-UNS N°6621

   Pascal Chossat


                         Research Director, CNRS                        

Contact
Address :
Laboratoire J.A.Dieudonné
UMR CNRS-UNS N°6621
Université de Nice Sophia-Antipolis
Parc Valrose
06108 NICE Cedex 2
Phone Number : 04 92 07 XX XX
Fax Number : 04 93 51 79 74
Mail : pascal.chossat@unice.fr
Research Topics

My main theme of scientific research is Equivariant Bifurcation Theory, a mathematical approach to the problems of spontaneous symmetry-breaking, pattern selection and dynamics of nonlinear systems which inherit from their basic physical set-up a certain amount of symmetry. This theory has met big successes in understanding and predicting pattern formation and time evolution of some classical hydrodynamical systems, especially the Couette-Taylor problem (onset of structures for a fluid flow set between two rotating cylinders, see P. Chossat et G. Iooss 1994) and the Bénard problem (onset of convective structures). Its applications extend to many other areas of Science, from Biology to Mechanical Systems with symmetry.
It provides a theoretical framework which unifies such phenomena as diverse as patter formation in convective cells of fluide flow and patterns on the coat of zebras or leopards (for example). It allow for a rogorous mathematical approach of dynamical (temporal) phenomena such as intermittency in convective patterns of rotating fluid. 

A comprehensive exposition of the theory can be found in my book with Reiner Lauterbach, here.

Since 2015 I am a member of the project Mathneuro from Inria, for the modelisation of sequential processes in biological neural networks. I study how the cortex produces sequences of memorized actions or concepts, depending on the type of learning and dynamical properties of synapses. To this aim, I rely on a neuronal model equation which I developed with Martin Krupa in 2015, bio-inspired but having geometrical properties which simplify considerably the analysis of existenc of heteroclinic and excitable chains in the network.

My main contributions can be divided into the following domains:

Research management (since 2001)
Publications

Books

Papers (since 2001)

Novel

Videos

        1. Heteroclinic cycle in the case of Fig. 10
        2. Heteroclinic cycle in the case of Fig. 11
        3. Heteroclinic cycle in the case of Fig. 12