COMPTES RENDUS DE CONFERENCES

J. Vannimenus, J.-P. Nadal & B. Derrida, in Dynamical Systems and Cellular Automata, J. Demongeot, E. Goles, M. Tchuente Editeurs (Adacemic Press,1985), pp. 147-152 : "Stochastic models of cluster growth".

J.-P. Nadal, G. Toulouse, M. Mézard, J. P. Changeux & S. Dehaene, in Computer Simulation in Brain Science, R. M. J. Cotterill Ed. (Cambridge Univ. Press, 1988) pp 221-231 : "Neural networks: learning and forgetting"

J.-P. Nadal, in Chaos and complexity, R. Livi, S. Ruffo, S. Ciliberto and M. Buiatti Ed. (Worls Sc. 1988) pp 208-218 : "Neural networks: a path from neurobiology to psychology?"

J.-P. Nadal, in Measures of Complexity, Lectures Notes in Physics 314, L. Peliti & A. Vulpiani Ed. (Springer, 1988) : "Neural networks that learn temporal sequences"

I. Guyon, L. Personnaz, J.P. Nadal, and G. Dreyfus, in D.Z. Anderson, editor, Neural Information Processing Systems (NIPS*88), pp. 233--241, AIP Conf. 1988: "High order neural networks for efficient associative memory design".

J.-P. Nadal, in Journal de Physique, Colloque C3, suppl num. 3, Tome 50, pp 223-227 (1989) : "Neural networks: a statistical physics approach"

L. de Arcangelis, H. J. Herrmann, M. Kolb, René Thomas, C. Amitrano, L. Peliti, M. Saber, G. Weisbuch, Sara A. Solla, F. Bagnoli, A. Francescato, R. Livi, S. Ruffo, Pablo Tamayo, Michel Droz, Peter Jorg Plath, S. Romano, Yves Pomeau, S. Zaleski, D. Stauffer, Luciano R. da Silva, Alex Hansen, S. Roux, Antonio Coniglio, B. Derrida, Henrik Flyvbjerg, Naeem Jan, Dietrich Stauffer, Peter Grassberger, A. Zippelius, K. E. Kurten, Werner Krauth, Jean-Pierre Nadal, Marc Mézard, Per Bak, Chao Tang, Itzhak Webman, M. L. Martins, H. F. V. Resende, C. Tsallis, A. C. N. Magalhaes, Abstracts from the CECAM workshop on computer simulations of cellular automata (Orsay, Sept. 26-Oct. 7, 1988), Journal of Statistical Physics Volume 55, Issue 5-6, pp 1333-1359 (June 1989).

J. A. Sirat, S. Makram-Ebeid, J.L. Zorer et J.-P. Nadal, Proc. of the 1rst IEE Conf. on Artificial Neural Networks (Londres 16-18 Oct. 1989) : "Unlimited accuracy in layered networks"

J.-P. Nadal in Neural networks and spin-glasses, W. K. Theumann & R. Kšberle Ed. (World Sc 1990) pp 80-90 : "New algorithms for feedforward networks"

J.-P. Nadal & G. Toulouse in Neural networks and spin-glasses, W. K. Theumann & R. Kšberle Ed. (World Sc 1990) pp 176-188 : "Efficiency of sparsely coded memory nets: an analysis with information theory criteria"

J.-P. Nadal in Neural Networks : From Biology to High Energy Physics, O. Benhar, C. Bosio, P. Del Giudice & E. Tabet Ed. (ETS EDITRICE PISA 1991) pp. 29-37 : "Tagging rare events with sparsely encoded data"

A. Rau & J.-P. Nadal in Physica A185 (1992) (proc. of International Conference on Complex Systems: Fractals, Spin Glasses and Neural Networks, Trieste 1991) pp. 428-432: "A model for a multi-class classification machine"

J.-P. Nadal in La Corrélation, Acad. des Sc. & Acad. Nat. de l'Air et de l'Espace (Cépaduès editions, Toulouse, 1992) pp. 257-267 : "Réseaux de neurones formels : approche physique et applications"

F. d Alché, V. Andrès & J.-P. Nadal, proceedings of ICANN92 (4-7 sept 1992, Brighton) : "Learning fuzzy control rules with a fuzzy neural network"

D. Zwierski, J. A. Sirat & J.-P. Nadal, comptes rendus de Neuro-N”mes 92, pp. 197-210 : "Fast texture synthesis using hierarchical neural networks"

J.-P. Nadal & N. Parga, proceedings of Neural Networks From Biology to High Energy Physics (Elba 1992), Int. Journ. of Neural Syst. 3 (Supp. 1992) pp. 41-40 :
"Information Processing by a Perceptron"

F. d'Alché-Buc, J.-P. Nadal and D. Zwierski, proceedings of ECAI'94 Workshop on Combining Symbolic and Connectionist Processing (Amsterdam), pp. 133-142, 1994
"Hybrid trees for supervised learning: towards extraction of decision rules"

J.-P. Nadal & N. Parga, proceedings of Neural Networks From Biology to High Energy Physics (Elba 1994), Int. Journ. of Neural Syst. (Supp. 1994, World Scientific)  :
"Information transmission by networks of non linear neurons"

Nadal J.-P., Weisbuch G., Chenevez O. and Kirman A., in Advances in Self-Organization and Evolutionary Economics, J. Lesourne et A. Orléan Eds. (Economica, London, 1998), pp. 149-159 (actes de la conférence "Self-Organization and Evolutionary Economics: New Developments", Sept. 30 -Oct. 1, 1996, CNAM, Paris) :
"A formal approach to market organization: choice functions, mean field approximation and maximum entropy principle"

J.-P. Nadal & N. Parga, proceedings of TAINN'97 (Ankara) :
"Neural Codes and Independent Component Analysis: Information Theoretic Approach and Conditions on Cumulants"

N. Brunel & J.-P. Nadal, proceedings of ESANN'97 (Bruges) :
"Optimal tuning curves for neurons spiking according to a Poisson process in response to a scalar stimulus"

N. Brunel & J.-P. Nadal, Actes du colloque Memory: from neuron to cognition (Académie des Sciences 17-18 avril 1997), Comptes Rendus de l'Académie des Sciences, Série III, 321(2-3):249-252 (1998) :
"Modeling memory: what do we learn from attractor neural networks?"

Anne-Claude Doux, Jean-Philippe Laurent, and Jean-Pierre Nadal, Sixth International Conference on User Modeling (Chia Laguna, Sardinia, 2-5 June 1997)
"Symbolic Data Analysis With the K-Means Algorithm for User Profiling".

J.-P. Nadal & N. Parga, actes du 16ème colloque sur le Traitement du Signal et des Images (GRETSI97), Grenoble, 15-19 sept. 1997 : "Analyse en composantes indépendantes et séparation de sources : approches basées sur la théorie de l'information et recherche de conditions minimales"

Weisbuch, G. and Nadal, J.-P. and Chenevez, O. and Kirman, A, Workshop on EconoPhysics, Budapest July 21-27, 1997 : "Market organisation and trading relationship".

Herschkowitz D. and Nadal J.-P., Advances in Neural Information Processing Systems 11 (actes du colloque NIPS 98, Denver, Dec 1-6, 1998), M. S. Kearns, S. A. Solla, D. A. Cohn, eds., MIT Press 1999, pp. 232-238 : "Unsupervised clustering: the mutual information between parameters and observations".

Nadal J.-P., in Statistical Theories of the Brain, edited by R. Rao, B. Olshausen, and M. Lewicki, MIT Press, 2000, to appear (proceedings of the NIPS98 Workshop on "Statistical Theories of Cortical Function", Dec. 4, 1998, Breckenridge, Colorado)
"Information theoretic approach to neural coding and parameter estimation: a perspective"