Organized Conferences
















  • 2017 Geometric Science of Information (GSI2017 link) Session Information structures in Neuroscience Mines-Paristech, France, Nov. 2017, with D.Bennequin , S.Roy.










  • 2015 Complex System e-conference (CS-DC'15 link) - Session topology for complex systems.



  • 2015 Geometric Science of Information (GSI2015 link) Session Topology and information École Polytechnique, Palaiseau, France, Oct. 2015, with D.Bennequin.

Topics of the session: The discovery of entropy and thermodynamic has accompanied the industrial revolution, the development of its engines and mechanical machine. The formalisation of information has in turn accompanied the numeric revolution with its digital computer machines. The uncover of Information's functional equation in the context of motives, of new information inequalities, and the axiomatization of information within category-homology theory, unravel new aspects on what is Information-entropy. This workshop reviews these first steps and new developments, toward an effective thermodynamic and information theory, following those algebraic geometry and topology lines. The topics will be operad, cohomology, polylogarithms, motives, and entropic inequalities, in the perspective of thermodynamic and information theory.



  • 2012 Geometry without frontiers. In the honour of Daniel Bennequin (link) Paris-7 University, Mathematic institute March 2012, with S.Paycha and F.Hélein.

Speakers: Yakov Eliashberg, Alain Chenciner, Christian Kassel, Jacques Droulez, Sidney Wiener, Emmanuel Giroux, Bernard Teissier, Chantal Milleret, Jean-Pierre Nadal, Dominique Barbolosi, Claude Mitschi, Patrick Iglesias-Zemmour, Nguyen Viet Dang, Marc Chaperon, Tilmann Wurzbacher, Claude Viterbo, Rodolpho Llinas, Sisir Roy, Tamar Flash, Michèle Bompard-Porte, Michèle Audin, Jean Petitot, Michel Egeileh, Frédéric Fauvet , Fabien Besnard , Vincent Colin, Patrick Popescu Pampu, Christian Mercat, Gilles Lebeau, Marcus Slupinski.







This workshop focus on the old problem of the relation between physic (notably quantum) and the theory of mind, enlightened by the developments of neuroscience's models, computational models, mathematical stochastic integration theory, geometry, and epistemology. The aim is to discuss and confront the various views arising from those fields. This workshop is therefore broad spectrum and open to a large and even non-specialist audience. This workshop is organised in the honor of the visit of Pr. Sisir Roy. Pr. Sisir Roy is a recognised international researcher who has been working notably on the foundation of quantum physic, dynamic geometry and brain function modelling. He is Professor at the Physics and Applied Mathematics Unit of the Indian Statistical Institute.







  • 2010 The Shapes of Brain Dynamics (link) ISC-PIF, Paris, with R.Doursat.

This workshop focuses on the observation, measure and modeling of the "shapes" of complex spatiotemporal phenomena in large populations of neurons. It aims to contribute to a view of the brain as a "pattern formation machine" generating dynamical states composed of myriads of bioelectrical signals, at multiple mesoscopic levels from 10^3 to 10^9 units (between cortical columns and areas). Dynamical structures of neural activity constitute a prototypical example of emergent collective behaviors observed in nature, such as bird flocking or insect colonies. Such systems exhibit multistability, phase transitions, a wide diversity of trajectories and, of particular interest here, "morphogenetic" abilities. In addition, the special features of "neuron flocking" reside in its precise spatiotemporal relationships on the ms time scale and its complex underlying network structure. We propose here to explore various geometric, topological, statistical and computational approaches that can describe the dynamics of collective neural shape formation, in physical space or phase space.




The aim of this 2 days workshop is to discuss both how fluctuations can be used to extract information from various systems and how they limit our measurement possibilities. The lectures will cover theroretical approaches as well as experimental results, emphasizing the following topics: analysis of dynamical systems, fluctuation theorems, information cost and dissipation, time arrow, population genetics, Maxwell's daemons, optimal work extraction, quantum measurements and emergence of classical laws.








  • 2008 Correlations in Neural Networks (link) 6th Computational Neuroscience Day ISC-PIF, Paris, with S.Ostojic . The 6th Computational Neuroscience Day dedicated to the topic "Correlations in neural networks".