Thèse Sciences Cognitives - Olivier Nerot
Thèse Sciences Cognitives - Olivier Nerot
Thèse Sciences Cognitives - Olivier Nerot
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Mémorisation par forçage des dynamiques chaotiques dans les modèles connexionnistes récurrents<br />
[62] A. Destexhe (alain@helmholtz.sdsc.edu). Stability of periodic oscillations in a network of<br />
neurons with time delay. à paraitre dans Physics Letters A.<br />
[63] Migzhou Ding, J.A Scott Kelso. Controlling chaos : a selection mechanism for neural information<br />
processing<br />
[64] Alison A. Dingle, John H. Andreae, Richard D. Jones. The chaotic self-organizing map.0-8186-<br />
4260-2/93. IEEE. p15-18. (1993)<br />
[65] Kenji Doya (doya@crayfish.ucsd.edu). Bifurcations in the learning of recurrent neural net-works.<br />
Proceedings of 1992 IEEE International Symposium on Circuits and Systems. p2777-2780.<br />
(1992)<br />
[66] Kenji Doya (doya@crayfish.ucsd.edu), Shuji Yoshizawa. Adaptative synchronization of neural<br />
and physical oscillatiors. Advances in neural information processing systems. vol.4. p109-116.<br />
Morgan Kaufmann. (1992)<br />
[67] Kenji Doya (doya@crayfish.ucsd.edu), Shuji Yoshizawa. Adaptative neural oscillator using<br />
continuous-time backpropagation learning. Neural Networks. Vol.2. p375-385. (1989)<br />
[68] B. Doyon, B. Cessac, M. Quoy, M. Samuelides. Control of the transition to chaos in neural<br />
networks with random connectivity. International journal of bifurcation and chaos. Vol. 3. No. 2.<br />
p279-291. (1993)<br />
[69] ??? Stéphane Durand (durand@loria.fr), Frédéric Alexandre. Spatio-temporal mask learning :<br />
application to speech recognition.<br />
[70] Ivan Dvorak. Spatiotemporal changes in Determinacy of Brain Electrical Phenomena. Dans<br />
Mathematics applied to biology and medecine. pp 103-113. J.Demongeot, V.Capasso, editors.<br />
(1993)<br />
[71] G.M. Edelman (edelman@wisdom.weizmann.ac.il). Biologie de la conscience. Collection Point.<br />
Edition Odile Jacob. (1992)<br />
[72] <strong>Olivier</strong> François, Jacques Demongeot, Thierry Hervé. Convergence of a self-organizing<br />
stochastic neural network. Neural Networks. Vol.5. p277-282. (1992)<br />
[73] Kunihiko Fukushima, Sei Miyake, Takayuki Ito. Neocognitron : a neural networks model for a<br />
mechanism of visual pattern recognition. IEEE Transactions on Systems, Man and Cybernetics.<br />
SMC-13:826-834<br />
[74] Max Garzon, Stan Franklin. Neural Computability II. Proc. 3rd Int. Joint. Conf. on Neural<br />
Networks, Washington D.C. , I, 631-637. (1989)<br />
[75] Wolfram Gerstner, Raphael Ritz, J. Leo van Hemmen. Why spikes ? Hebbian learning and<br />
retrieval of time-resolved excitation pattern. Biological cybernetics. 69. 503-515 (1993)<br />
[76] Frederic Geurts (gf@info.ucl.ac.be). Hierarchy of Discrete-Time Dynamical Systems.Technical<br />
Report. Department of computer Science Engeneering. University of Louvain. (1994)<br />
[77] Lee Giles (giles@research.nj.nec.com), B.G. Horne, T.Lin. Learning a class of large finite state<br />
machines with a recurrent neural network. Technical report. UMIACS-TR-94-94. Institue for<br />
advanced computer studies. University of Maryland. (1994)<br />
[78] David Golomb, John Rinzel. Clustering in globally coupled inhibitory neurons. Physica D. 72.<br />
p259-282. (1994)<br />
[79] Gottschalk, K. A. Geitz, D. W. Richetr, M. D. Ogilvie, A. I. Pack. Nonlinear Dynamics of a<br />
Model of the Central Respiratory pattern Generator. p51-60. Control of breathing and its<br />
modeling perspective. Edited by Y. Honda, Plenum press, New York. 1992.<br />
[80] ??? M. Griniasty, M.V. Tsodyks. Daniel J. Amit. Conversion of temporal correlations between<br />
stimuli to spatial correlation between attractors.<br />
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