René Doursat, Ph.D.

Director, Complex Systems Institute
   Paris Ile-de-France (ISC-PIF)

Researcher, Centre National de la
   Recherche Scientifique (CNRS)

57-59, rue Lhomond, 75005 Paris, France


phone: +33 1 4217 0999
e-fax: +1 509 471 3511

     

Lecturer, Ecole Polytechnique
Full Member, Centre de Recherche en
   Epistémologie Appliquée (CREA Lab)
,
   Ecole Polytechnique & CNRS (UMR 7656)
ENSTA, 32, bd Victor, 75015 Paris, France


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Research
   • Artificial Life
   • Neural Dynamics
   • Ph.D. Dissertation
   • By Institution
       CNRS — ISC
       University of Nevada
       Ecole Polytechnique
       Ruhr-Universität
       ESPCI
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Full CV
CNRS — Institut des Systèmes Complexes, Paris Ile-de-France
Director, 1/2009–Present


The Complex Systems Institute, Paris (ISC; founded by Paul Bourgine) is a multidisciplinary research center and network, sponsored by the Paris Region (Ile-de-France) and 15 French academic partners—graduate schools, universities, and national institutions (Ecole Polytechnique, Ecole Normale Supérieure, Université Pierre et Marie Curie, CNRS, INRIA, CEA, INSERM, et al.). Its mission is to create a community of research in "complex systems"—viewed as large sets of elements interacting locally and producing collective behavior—that studies common questions (self-organization, emergence, autonomy, adaptation, etc.) across many domains (molecular, cellular, cognitive, social, economic, technological, environmental).
Beside my research activities (see below), I am in charge of managing the institute, together with a monthly Steering Committee (12 external advisors), in particular leading the renewal of ISC's mandate and funding for the next four-year period 2010-2013. I report twice a year to an Executive Board (composed of our supporting partners) about the institute's program, activities and budget use (capital and operating budget totaling about € 1M/year). Scientific orientations are overseen by a Scientific Council of foreign scholars. Capital budget is used to create ISC "branches" hosted by its different academic partners, i.e., build/renovate and equip office space to become complex systems research labs. Another part is invested in a large computing grid (already 1600 cores, soon 2400) dedicated to complex systems modeling and numerical simulations. Operating budget supports ISC's activities, including scientific events (conferences, workshops, seminars) and educational programs (summer school, thematic institutes, Master's curriculum), and the resident staff of 8 researchers, 3 engineers, 3 admins, who coordinate them.
Researcher, 9/2007–Present
Research Engineer, 11/2006–8/2007
Active in several collaborations with colleagues in Europe, United States and Canada on the modeling and simulation of complex multi-agent systems, in particular biological and techno-social, which can also inspire novel principles in intelligent systems design. My research topics belong to Artificial Life (biologically inspired engineering) and Computational Neuroscience (dynamics of large-scale spiking neural networks). Especially interested in the self-organization of complex, articulated morphologies from a swarm of heterogeneous agents, through dynamical, developmental, and evolutionary processes. Also worked with Paul Bourgine (founder and former head of ISC and the Complex Systems Society) on the Embryomics and Bioemergences projects toward the spatiotemporal reconstruction of the cell lineage tree underlying animal embryogenesis.


University of Nevada, Reno — Brain Computation Laboratory, CSE
Visiting Assistant Professor, Department of Computer Science & Engineering, UNR, 7/2005–6/2006
Research Assistant Professor, Brain Computation Laboratory, UNR, 8/2004–6/2005
The UNR Brain Computation Laboratory ("Brain Lab") is an interdisciplinary research group studying large-scale spiking neuronal models of the cortex. Its core technology is the NeoCortical Simulator (NCS), a biologically detailed software model running on a massively parallel 220-CPU Beowulf computer cluster.
Co-PI in the "Neuromorphic Mesocircuits" project led by Philip H. Goodman (Professor & Lab Director, School of Medicine). It constitutes an original attempt to design a modular brain architecture of spiking neural networks that emulate robotic behavior learning. We model pattern recognition and association by "lock-and-key" coherence induction between dynamic cell assemblies (see Locks & Keys). Also further developed the research on spatial categorization started at CREA, Paris (emergence of symbolic language from visual scenes; see below and Morphodynamics) and became actively involved in several other complex systems projects (see above). Additionally, as a visiting faculty in the Department of Computer Science and Engineering, taught two to three classes per semester, organized student projects and assisted supervising M.S. and Ph.D. works.


Ecole Polytechnique & CNRS — CREA
Full Member (2007–Present), Foreign Correspondent (1998-2006), Associate Member (1995-1998)
Research Associate, Paris, France, 10/1996–9/1997
The Centre de Recherche en Epistémologie Appliquée (CREA) is an interdisciplinary theoretical research center in cognitive and social sciences. Its activities range from neuroscience to linguistics and economics, focusing on the mathematical and computational modeling of complex, self-organizing systems.
Worked with Jean Petitot (Professor & Chair; also at EHESS—School for Advanced Studies in Social Sciences, Paris) on dynamic models of semantics based on cognitive linguistics (in contrast to logical models of syntax based on generative grammar). Specifically examined spatial categorization, i.e., how the mind is able to map an infinite variety of visual scenes to only a few prepositions ('in', 'over', 'across', etc.). This study addressed central theoretical questions such as the interface between physicalist and symbolic representations and the existence of a "cognitive topology" in perception (less metric than vector spaces, yet more metric than topological spaces). Created an image-processing application to illustrate the schematization pathways underlying spatial categorization (see Morphodynamics).


Ruhr-Universität Bochum — Institut für Neuroinformatik
Postdoctoral Assistant, Bochum, Germany, 10/1991–12/1994
The Institut für Neuroinformatik (INI) is a research institute in neural networks, computer vision, neurobiological models and robotics.
Worked under the supervision of Christoph von der Malsburg (Professor & Chair; also at the University of Southern California) on theoretical aspects of pattern recognition, specifically the ability of the visual system to segment and regroup image domains under the influence of previously learned shapes. Focused on the study of networks of coupled oscillating units and their properties of emergent collective behavior, such as phase-locking synchronization or traveling waves of activity. Designed models showing that shape extraction can arise from such networks and created network simulator applications with high-end graphical user interfaces to support these models (see Wave Matching). Also taught two original seminars in cognitive science for graduate students (see Teaching).


ESPCI — Laboratoire d'Electronique
Doctoral Fellow, Paris, France, 10/1987–9/1991
The Laboratoire d'Electronique at the Ecole Supérieure de Physique et Chimie Industrielles (ESPCI) is an engineering research lab in machine learning, neural networks and biological system modeling, led by Gérard Dreyfus, Professor & Chair.
Under the direction of Elie Bienenstock, CNRS (currently Associate Professor at Brown University, Providence), elaborated a criticism of the traditional activity-rate code in neural models and advocated temporal correlations as the basis of brain function (after von der Malsburg, 1981). Illustrated this question by three mathematical and numerical studies:
  1. a critical review of "learning" in neural networks as a nonparametric statistical estimation method
  2. an algorithm of handwritten character recognition using 2-D "elastic" lattices (instead of pixel lists)
  3. a model of synaptic self-organization in the cortex based on an activity/connectivity feedback loop
Designed the models, created visualization tools and carried out numerical simulations for all three parts (see Ph.D. Dissertation).