Research interests

information processing in neural networks: { neural coding and signal processing - modeling memory}
learning algorithms for data analysis {constructive algos. - R & D}
bioinformatics
complex systems in social science [econophysics - social cognition - linguistics ]
résumé (pas à jour) en français de cette page :

• Information processing in neural networks
  formal neural networks and modeling in computational neurosciences
  applications to signal processing and data analysis

  Statistical physics and computational neuroscience: an introduction (in French).

  Specific topics:
  within brackets, published or submitted [articles] - a same paper can be associated with several topics/keywords .

  • neural coding and signal processing

    review papers:
    Sensory coding: information maximization and redundancy reduction
    (written with N. Parga, 1997);
    Information theoretic approach to neural coding and parameter estimation
    (NIPS Workshop on "Statistical Theories of Cortical Function", 1998)

    Keywords / topics:
    neural coding, sensory coding, signal processing, data analysis, and in particular:

    neural coding versus parameter estimation unsupervised versus supervised learning			[NP92, HN99]
    link between infomax and redundancy reduction			[NP94, NBP98]
    typical and maximal mutual information between input and output:
    perceptrons	[NP92, NP93, KPN97],	linear networks	[DGCPN95],	spiking neurons	[NBP98, BN98, BGN07]
    population coding			[BN98, BGN07]
    learning and clustering (unsupervised and supervised) bounds and retarded learning			[WN94, HN99, BGN02]
    independent component analysis (ICA) and blind source separation (BSS)			[NP94, NP97, NBP98, PN00, ACN99, ACN00]
    natural images analysis			[TMPN98, TNP03, MN04].
    perception of space			[PON03]

    Collaboration with Nestor Parga ( Madrid).
    Application of ICA to geophysical data: collaboration with Filipe Aires and Alain Chédin, group ARA of LMD, Ecole Polytechnique, and IPSL .
    For general references on ICA, see , ICA at CNL and   (ICA-Central is a web site devoted to ICA/BSS).
    For references on population coding, see the Bochum web site
    On natural image analysis, see the web page of Antonio Turiel (previoulsy at UAM, LPSENS, INRIA; now at Institute for Marine Sciences of Barcelone).

    Perception of space: collaboration with Kevin O'Regan (LPE, Paris 5) and David Philipona (Sony CSL and LPE).

    
    

  • modeling memory

    review paper:
    Modeling memory: What do we learn from attractor neural networks?
    (written with N. Brunel).

    Keywords / topics:
    attractor neural networks (ANN), associative memory, working memory, supervised learning, storage capacity, information capacity, sparse coding, in particular:

    duality relating neural coding and parameter estimation		[NP92]	dynamics of attractor neural networks	[14, 15]
    storage/information capacity of perceptrons			[NP92, BNT92], [20-22]
    capacity in the sparse coding limit		[18, 21]	review paper on sparse coding	[MN95]
    storing temporal sequences		[LN93],[11,13]	cell signaling: modeling with ANN	[PAWN92]
    palimpsests (working memory)		[9,10,12]	neural networks: from physics to psychology	[book 1993] (in French)
    cerebellum: Purkinje versus perceptron		[BHINB04]

    
    Collaborations with Nicolas Brunel (Univ. Paris 5), and at Ens: Vincent Hakim (LPS), Boris Barbour, Biology Department of Ens.
    See also related works at LPSENS by R. da Silveira, V. Hakim and J. Ninio.

  
  
• Learning algorithms for data analysis

  Constructive learning algorithms
  constructive algorithms for building multilayer perceptrons, neural decision trees and hybrid trees
  List of references: tiling algorithm, neural trees, trio-learning
  (+ general references on contructive algorithms).

  collaboration with Marc Mézard: tiling algorithm.
  collaboration with Florence d'Alché-Buc: neural trees, trio-learning.
  

  R & D Applications
  works with Laboratoires d'Electronique Philips S.A.S. (LEP), Limeil-Brévannes, France.
  Publications with LEP from Philips database.
  Most recent paper: Symbolic Data Analysis for User Profiling, 1997

  
  

• Bio-Informatics

  Cell signaling: modeling with ANN (collaboration with H. Atlan and G. Weisbuch) [PAWN92]

  Optimal consensus sequences [unpublished], collaboration with Marc Dreyfus and his team from the Molecular Genetics Unit at ENS.

  Collaboration with Institut Curie
  [with Karen Willbrand, Francois Radvanyi, Jean-Paul Thiery and Thomas M. A. Fink, "Identifying genes from up-down properties of microarray expression series", Bioinformatics (2005)]

  Participation to working groups.

  
  

• Complex systems in social sciences
  [ Econophysics - Social cognition - Linguistics ]

  Collective phenomena and cognitive aspects in markets organization and social systems

  Market and social organization:

  (For general references and links on econophysics, see Econophysics Forum)

  collaboration with Alan Kirman (GREQAM) and Gérard Weisbuch (LPSENS) [market organisation: NWCK98]

  collaboration with G. Weisbuch and the CEMAGREF [opinion dynamics: WDAN02]

  collaboration with Denis Phan (ICI, Rennes I), Mirta B. Gordon and Viktoriya Semeshenko (Leibniz, Grenoble), Jean Vannimenus (LPSENS)
  [market and social organisation with heterogenous agents and social influence; multiple equilibria, hysteresis, learning agents]
  [PGN03, PPN03, WEHIA2003 / NGPV05, GNPV05, MGN06, GNPS07, SGN07] [book chapter: PGN04]

  collaboration with the CMAP, Ecole Polytechnique [financial markets - heterogeneous agents, stylised facts: GCN05]

  Organisation of advanced schools on cognitive economics; Proceedings: Cognitive Economics, Springer, 2004.

  Revue paper, in French, with M. B. Gordon : "Physique statistique de phénomènes collectifs en sciences économiques et sociales"
  (preprint.pdf), in: revue Mathématiques et Sciences Humaines, num. 172, Hiver 2005, num. spécial "Modèles et méthodes mathématiques dans les sciences sociales : apports et limites").

  Urban Social Dynamics

  Project DyXi (2009-2011): Dynamiques Citadines Collectives : Hétérogénéités Spatiales et Individuelles (Urban Collective Dynamics: Individual and Spatial Heterogeneities)
  

  Social segregation: Schelling model and beyond. With Laetitia Gauvin and Jean Vannimenus [GVN09, GNV10]
  

  
  (Psycho/socio/neuro-) linguistics
  modeling learning and evolution; evolution/perception of phonetic categories

  collaboration with Janet Pierrehumbert (Northwestern University, Evanston)

  collaboration with the LSCP (DEC ENS and EHESS) [PLCND06]

  Exemplar models and neural coding of categories, with Laurent Bonnasse-Gahot [BGN07, ESSLI07]

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