Pierre Baudot

Research Associate (postdoc) - UNIS INSERM UMR_S 1072

Education and Training

  • 2012 Qualification French University lecturer position
  • 2007 Out of equilibrium statistical physic IHP - 3 months of courses and conferences at IHP
  • 2006 PhD in Neuroscience - Cognitive Science - Univeristy Paris VI- summa cum laude
  • 2002 Habilitation to animal experimentation - level 1
  • 1997-1998 Research Master in Cognitive Science - X-ENS-Paris XI & VI University - summa cum laude
  • 1995-1998 École Normale Supérieure rue d’Ulm - ENS Paris magister biology - magna cum laude
  • 1993-1995 University 1st Cycle - Biology, bio-chemistry (Paris VI University) - summa cum laude
  • 1992-1993 Bio-Engineer preparation - Prepa A.Schweitzer, Le Raincy


Research experience

  • 2015-pres. Researcher - UNIS INSERM UMR_S 1072, Team Homeostasis of excitability and neuromodulation, Univ. Aix Marseille, advisor: J-M. Goaillard
  • 2013-2015 Researcher - Max Planck Institute for Mathematics in the Sciences, Group for General Theory of Complex Systems, MPI-MIS, Leipzig, Germany, advisor: Jürgen Jost
  • 2008-2013 Researcher - Complex System Institute, (ISC-PIF), École Polytechnique-CNRS, Paris, advisor : Paul Bourgine
  • 2007-2010 Visiting Researcher - Geometry and Dynamic team, Institut de Mathématiques de Jussieu, Université Paris-VII, advisor: Daniel Bennequin ; Topics 2007-pres.: Information topology: Algebraic topology formalisation of probability and information theory. Statistical and quantum physic. Biological and complex systems models (learning, adaptation). Topological & statistical data analysis.
  • 1998-2007 PhD & postdoc internship - Complexity Information Neuroscience Unit - (UNIC), UNIC, CNRS - Institut de Neurobiologie Alfred Fessard, Gif-sur-Yvette, advisor: Y.Fregnac
  • 1997-1998 Master internship - Integrative and Computational Neuroscience Unit (UNIC), UNIC, CNRS - Institut Alfred Fessard, Gif-sur-Yvette, advisor: Y.Fregnac ; Topics 1997-2007: Electrophysiology and computational neuroscience. Coding (reproductibility, information, sparsness), receptive fields (excitation-inhibition, orientation selectivity) and plasticity study of visual cortex. Study of visual perception in natural condition with eye-movement
  • 1996 Research Internship: Neuropharmacology lab - Collège de France, INSERM ; Topics (advisor: J.A.Girault): Biomolecular and biocellular study of the localisation during the development and in adult of the various isoforms of two protein kinase, FAK et CAKb


Teaching experience

  • 2008 Instructor - Complex Systems Summer School - ISC-PIF
  • 2002-2004 Neurophysiology applied courses - University Paris XII, 1st,2nd&3rd year undergraduate program: nervous system: physiology and modelling.

Honors and awards

  • 2017 Trophy K2: Mathematics and application Trophy K2
  • 2016 Scholarship of city of Marseille - External researcher prize
  • 2008 Fellowship of the region-Ile-de-France - DIM
  • 2003 Laureate of the B. Fouassier Price - Fondation de France
  • 1998 PhD Fellowship - French Ministry of Research


Activities in the scientific community

  • 2018 Scientific Advisory Committee Members – Entropy 2018 : From Physics to Information Sciences and Geometry : 14-16 May – Barcelona
  • 2017 Editor – Entropy Journal MDPI - Special Issue “Topological structure of information”
  • 2014-pres. Geometric Science of Information ; Cofounder: ATT-GSI Geometric Sciences of Information (link) in the industrial association SEE Administrator: Geometric science of information forum (conferences - archive - jobs - diffusion...) ; Coordinator, organisator and scientific committee: TGSI2017, GSI2017, GSI2015
  • 2014-pres.Complex System Digital Campus CS-DC - Unitwin UNESCO Ambassador CS-DC Unesco (2017). Organisator, scientific committee. Chair olympiads of multilevel models (2017). Co-responsable of the e-Department Foundations of Complex Systems
  • 2015-pres. Azymuth Project, Member: International collaboration of scientists and engineers interested in environmental problems
  • 2016 Seminar-courses – Mathematical-Computational-Neuroscience (link) Aix-Marseille University
  • 2014-2015 Lectures - High Dimensional Data Analysis lectures - Max Planck Institute - Info. topo. lecture.
  • 2013-2014 Lectures - Information theory - Max Planck Institute - Quantum information lecture
  • 2014 HFSP international project elaboration, Physical basis of cognition (with S.Roy, Indian Statistical Institute India and R.Llinas, NYU, USA)
  • 2013 ANR international project elaboration, Coord : P.Baird, Brest.Variational methods and order 4 elliptic problems, discrete geometry flows
  • 2013 CNRS PEPS international project elaboration, Information theory and statistical physic of large disordered networks in Neurosciences, with J.Touboul, collège de France, and T.Taillefumier, Princeton, USA
  • 2012 Expert reviewer for European Commission grants - program FP7; February-March 2012: FP7-ICT-FET Information Communication – Future Emerging Technology: Evaluations of “Dynamics of Multi-Level Complex Systems” largescale projects ; September-October 2012: FP7-PEOPLE-2012-IEF-IIF-IOF - Mathematic-Engineer fellowships
  • 2009-2012 ANR Mandy (accepted grant), Mathematical Analysis of Neuronal Dynamics. Coord: M.Thieullen, LPMA, Univ ParisVI
  • 2008-2010 Complex system society and network Cargèse meeting and Complex system roadmap
  • 2006-2007 FACETS EUproject-FastAnalogComputingEmergentTransientStates  
  • 2004-2005 SenseMaker EU project - MultiSensory Adaptable Perception System


Organization of international conferences and workshops

  • 2017 Topological and geometrical structures of information (TGSI2017 link) ; Main organizer: 30K€ accepted grant - Centre international de rencontres Mathématiques CIRM, Luminy, France, with N.Ay, F.Barbaresco, D.Bennequin, M.Ledoux, M.Madiman, M.Marcolli, F.Nielsen
  • 2017 Complex System e-conference (CS-DC'17) chair olympiads of multilevel models
  • 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.
  • 2012 Geometry without frontiers. In the honour of Daniel Bennequin; Paris-7 University, Mathematic institute March 2012, with S.Paycha and F.Hélein
  • 2011 Quantum physics and brains (link) ISC-PIF, Paris, with D.Bennequin and S.Roy
  • 2010 The Shapes of Brain Dynamics (link) ISC-PIF, Paris, with R.Doursat.
  • 2010 Fluctuations, information flow and experimental measurements ; Satellite of the “Journées de physique statistique 2010” ESPCI January 2010, with I.Junier. 2008 Correlations in Neural Networks (link) 6th Computational Neuroscience Day ; ISC-PIF, Paris, with S.Ostojic


Publications in journals with review committee

  • Baudot P., Bennequin D., The homological nature of entropy. Entropy, 2015, 17, 1-66; doi:10.3390. PDF
  • Baudot P., Bennequin D., Topological forms of information. AIP conf. Proc., 2015. 1641, 213. PDF
  • Baudot P., Levy M., Marre O., Monier C., Pananceau M., Frégnac Y., Animation of natural scene by virtual eye-movements evokes high precision and low noise in V1 neurons. Front Neural Circuits., 2013, Dec 27;7:206. PDF
  • El Boustani S., Marre O., Béhuret S., Baudot P., Yger P., Bal T., Destexhe A., Frégnac Y., Network-state modulation of power-law frequency-scaling in visual cortical neurons. PLoS Comput Biol., 2009, Sep;5(9). PDF
  • Fregnac Y., Baudot P., Chavane F., Marre O., Monier C., Pananceau M., Sadoc G., Multiscale functional imaging: reconstructing network dynamics from the synaptic echoes recorded in a single visual cortex neuron. Bull Acad Natl Med., 2009, Apr; 193(5):851-62. PDF
  • Fregnac Y., Monier C., Chavane F., Baudot P., Graham L., Shunting inhibition, a silent step in visual cortical computation. Journal of Physiology (Paris), 2003. Jul-Nov;97(4-6):441-51. PDF
  • Monier, C., Chavane, F., Baudot, P., Borg-Graham, L., and Frégnac, Y., Orientation and direction selectivity of synaptic inputs in visual cortical neurons: a diversity of combinations produces spike tuning. Neuron, 2003. Vol. 37 . 4. 663-680. PDF
  • Chavane, F., Monier, C., Bringuier, V., Baudot, P., Borg-Graham, L., Lorenceau, J. and Frégnac, Y., The visual cortical association field: a Gestalt concept or a physiological entity. Journal of Physiology (Paris), 2000. 94: 333-342. PDF
  • Menegon A., Burgaya F., Baudot P., Dunlap D., Girault J.A., Valtorta F., FAK+ and PYK2/CAKb, two related tyrosine kinases highly expressed in the central nervous system: similarities and differences in the expression pattern. European Journal of Neuroscience, 1999. vol.11, 3777-3788. PDF


Invited International conferences

  • 2016 Topological structures of information, theory, perspectives and applications to biological data and biological models. 14th-21st May, 2016. BigDataLifeScience 2016. Big Data Mathematical and Statistical Tools for Life Science, Amirkabir University of Teheran, Tehran, Iran
  • 2015 Information Topology, a mathematical theory of Complex Systems and data. CS-DC’15 Complex Systems Digital Campus, e-Conference on Complex Systems. 1st oct. 2015 Slides & video. 2014 Information topology. 3rd International Symposium On Complex Dynamical Systems and Applications 10-12 March, 2014. Indian Statistical Institute, Kolkata, India.
  • 2012 Information Topology. Random models in Neuroscience, 2-7th july Université Paris VI, France. 2009 Perceptive Localisation and spatialisation of cortical informations. Interdisciplinary school on Biology. Berder, France. Slides.
  • 2009 Negation, differenciation and irreversibility. Conférence Institut Henri Poincaré on negation, Paris, France
  • 2007 Nature is the code: Low noise and redundancy reduction in V1. Computational Neuroscience Days. Gif-sur-Yvette, France
  • 2006 Natural computation: reliable and efficient dissipation in V1. Math and Brain Days, Institut de Mathématiques de Jussieu, France
  • 2003 From simple structural invariants of receptive fields to complex functions of the primary visual cortex: what noise murmurs? Math and Brain Days, Institut Mathématique de Jussieu, France. Invited seminars
  • 2017 Topological structures of Information and probability: theory and applications séminaire de statistique UMR Mathématiques et Informatique Appliquées INRA-Agro-ParisTech. Paris 20th february 2017
  • 2016 Information, homology and applications. Laboratoire de Mathématique, Institut Fourier. Grenoble, France.9th March 2016
  • 2015 Topology and perception – Mathematics of cognitive science. X-SHS. E.Polythechnique. Paris, France. 27th oct. 2015
  • 2015 Information Topology: neural dynamics and adaptation. Laboratoire d'Imagerie Fonctionnelle. Faculté Pierre et Marie Curie - Site Pitié-Salpétrière, Paris, France. 16 March, 2015
  • 2013 Information topology. Laboratoire de Mathématiques de Bretagne Atlantique. Université de Bretagne - Brest, France. 20 March 2013
  • 2013 Information topology. Laboratoire d’imagerie fonctionnelle ; Faculté de Médecine Pierre et Marie Curie - Site Pitié-Salpétrière, Paris, France. 15 febr. 2013.
  • 2012 Applications of Probability and Information theory to neuroscience data and models. IFR Jean Roche. Neurobiologie des Canaux Ioniques. Marseille, France. 1st october 2012
  • 2012 On some relations between Information theory, cohomology and perception. Computational Neuroscience Group – Pompeu Fabra University- Barcelona, Spain
  • 2012 Information homology: some possible insights into brain's logic? Logic and Category seminar Équipe de Logique de l’Université Paris VII, Paris, France.
  • 2011 On some relations between Information theory, cohomology and perception. Neuromathematic and models of perception. Institut Henri Poincaré, Paris, France
  • 2011 Toward a mathematical and physical theory of information and perception. Computational Neurobiology Laboratory, Salk Institute, San Diego, USA.
  • 2010 Adaptation and information. Neuromathematic and models of perception, Institut Henri Poincaré, Paris, France.
  • 2008 Sensory dissipation. CRNH INSERM. Nantes, France.
  • 2007 Nature is the code. Odyssée - NeuroMathComp lab, INRIA, Sophia Antipolis, France
  • 2007 Nature is the code: reliable-efficient dissipation and eye-movement processing in V1. Bernstein ; Seminar Bernstein Center for computational neuroscience Frieburg, Germany
  • 2006 Much ado about nothing: effects of visual stimulation statistics on neural coding. ACI-NIM, Collège de France - Paris- France