Thèse Sciences Cognitives - Olivier Nerot

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Mémorisation par forçage des dynamiques chaotiques dans les modèles connexionnistes récurrents [18] Birbaumer. W. Lutzenberger. H. Rau, G. Mayer-Kress, I. Choi, C. Baum. Perception of music and dimensional complexity of brain activity. Soumis à International Journal of bifurcation and chaos. CCSR Tech-Report 94-28. (1994). [19] Eric Bonabeau. Jean-Louis Dessalles. Alain Grumbach. Characterizing emergent phenomena : a critical review. Revue internationale de systémique. Vol. 9. No 3. p327-346. (1995) [20] Roman M. Borisyuk, Alexandr B. Kirillov. Bifurcation analysis of a neural network model. Biol. Cyber. 66. p319-325. (1992) [21] Paul Bourgine (paul.bourgine@cemagref.fr). Viability and pleasure satisfaction principle of autonomous systems. Imagina 93 proc. (1993) [22] Paul bourgine (paul.bourgine@cemagref.fr), Francisco J. Varela. Towards a practice of autonomous systems. Toward a practice of autonomous systems. F.Varela & P.Bourgine eds. MIT Press. Bradford books, 1992, p3-10. (1992) [23] Paul bourgine (paul.bourgine@cemagref.fr). Modèles d’agents autonomes et de leurs interactions coévolutives. Penser l’esprit. V.Rialle & D. Fisette eds. PUG. (1996) [24] Y. Braiman, John F. Lindner, William L.Ditto. Taming spatiotemporal chaos with disorder. Nature. Vol.378. p.465-468. (1995) [25] Joseph L. Breeden. Open-loop control of nonlinear systems. Physical letters A. p 264-272.(1994) [26] Nicolas Brunel. Dynamics of an attractor neural network converting temporal into spatial correlations. Network : Computation in neural systems. 5. p449-470. (1994) [27] Neil Burgess, Michael Recce, John O'Keefe. A model of hippocampal function. Neural Networks : special issue on neurodynamics and behaviour. (1994) [28] T.L Burrows (tb119@eng.cam.ac.uk), M. Niranjan (niranjan@eng.cam.ac.uk). The use of feedforward and recurrent neural networks for system identification. CUED/F-INFENG/TR158. Cambridge university. (1993) [29] Bo Cartling. Control of the complexity of associative memory dynamics by neuronal adaptation. International journal of neural systems. Vol.4. No.2. pp 129-141 (1993) [30] Thierry Catfolis. A method for improving the real-time recurrent learning algorithm. Neural Networks. p807-821. (1993). [31] Gert Cauwenberghs (gert@cco.caltech.edu) . A learning analog neural network chip with continuous-time recurrent dynamics. [32] Bruno Cessac. Propriétés statistiques des dynamiques de réseaux neuromimétiques. Thèse. (1994) [33] Bruno Cessac. Increasing of complexity in random neural networks. soumis au Journal de physique : cross- disclinary physics. [34] Bruno Cessac. Ocurrence of chaos and AT line in random neural network. Europhysics letters. 26(8). p577-582. (1994) [35] B. Cessac, B. Doyon, M. Quoy, M. Samuelides. Mean field equations, bifurcation map and route to chaos in discrete time neural networks. Physica D. 74. p24-44. (1994) [36] Hung-Jen Chang. Walter J. Freeman (wfreeman@garnet.berkeley.edu). Parameter optimization in models of the olfactory neural system. Neural networks. Vol. 9. No 1. p1-4. (1994) [37] J.P. Changeux. L’homme neuronal. Collection Pluriel. Fayard.(1983) [38] J.P. Changeux. Alain Connes. Matière à pensée. Edition Odile Jacob. (1989) [39] François Chapeau-Blondeau. Nicolas Chambert. Synapse models for neural networks : from ion channel kinetics to multiplicative coefficient Wij. Neural Computation. 7. p713-734. (1995) 220 ANNEXE
Mémorisation par forçage des dynamiques chaotiques dans les modèles connexionnistes récurrents [40] Francois Chapeau-Blondeau, Gilbert Chauvet. Stable, Oscillatory, and chaotic regimes in the dynamics of small neural networks with delay. Neural Networks, Vol. 5. pp 735-743. (1992) [41] François Chapeau-Blondeau, Gilbert Chauvet. Dynamic properties of a biologically motivated neural network model. International Journal of Neural Systems. Vol. 3. no. 4. pp 371-378. (1992) [42] François Chapeau-Blondeau. Maximisation de l'entropie informationnelle dans la transmission par une non-linéarité neuronale. C.R. Acad. Sci. PAris. t.319. Série II. p271-276. (1994) [43] Francois Chapeau-Blondeau. Analysis of neural networks with chaotic dynamics. Chaos, Solitons & Fractals. Vol. 3. No 2. pp 133-139. (1993) [44] J-C Chappellier. A. Grumbach. Time in neural networks. SIGART bulletin. Vol.5. No.3.p3-11. (1994) [45] Hung-Jen Cheng, Joydeep Ghosh, Kadir Liano. A macroscopic model of neural ensembles : learning-induced oscillations in a cell assembly. International journal of neural systems. Vol. 3. No. 2. p179-198. (1992) [46] A.M. Collins, M.R. Quillian. Retrieval time from semantic memory. Journal of verbal learning and verbal behavior. (1969). [47] Jerome T. Connor, R. Douglas Martin. Recurrent neural networks and robust time series prediction. IEEE TNN, Vol.5, No.2. p240-253. (1994) [48] Barak Cohen. Training Synaptic Delays in a recurrent neural network. Thèse. Tel-aviv university. Faculty of engineering. Department of Electronics. (1994) [49] M. Cosnard, J. Demongeot, K. Lausberg, K. Lott. Attractors, confiners and fractal dimensions : applications in neuromodelling. Mathematics applied to biology and medecine. J.Demongeot, V. Capasso (edts). ISBN 0-920063-63-2. p69-93 (1993) [50] Georges-Henri Cottet. Modèles de réaction-diffusion pour les réseaux de neurones stochastiques et déterministes. C.R. Acad. Sci. Paris, t.312, Série 1, p.217-221. (1991) [51] Francis Crick, Cristof Koch. Towards a neurobiological theory of consciousness. Seminars in The Neuroscience 2. p263-275. (1990) [52] James P. Crutchfield (chaos@gojira.berkeley.edu). Is anything ever new? Considering emergence. Dans Integrative Themes. G. Dowan, D. Pines, D. Melzner, editors, Santa Fe Institute. Sciences of Complexity, XIX, Addison-Wesley, Reading, MA (1994) [53] Warren S. Mc Culloch, Walter Pitts. A logical calculus of the ideas immanent in neuron activity. Bulletin of mathematical biophysics 5:115-133 (1943) [54] de Cruyenaere(jpdecruy@ccs.carleton.ca) , H.M. Hafez. A comparison between kalman filters and recurrent neural networks. 0-7803-0559-0/92. Vol.4. p247-251. (1992) [55] Shawn P. Day(shawnd@ee.ubc.ca), Michael R. Davenport (davenpo@physics.ubc.ca). Continuous time temporal back-propagation with adaptable time delays. [56] Richard Dawkins. L’horloger aveugle. Eds Robert Laffont. (1989) [57] Gustavo Deco. Neural learning of chaotic dynamics. [58] Stanislas Dehaene, Jean-Pierre Changeux, Jean-Pierre Nadal. Neural networks that learn temporal sequences by selection. Proc. Natl. Acad. Sci. USA. Vol.84. p2727-2731. (1987) [59] J. Demongeot. Neural networks : from formal neuro-computing to real neuromodelling. [60] J. Demongeot, O. Nérot, C. Jezequel. Mémoire de rappel dans les réseaux de neurones.Penser L’esprit : des sciences de la cognition à une philosophie de l’esprit. V. Rialle et D. Fisette eds. (1996) [61] D.C. Dennett. La conscience expliquée. Editions Odile Jacob. (1991) Bibliographie Générale 221
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Thèse Sciences Cognitives - Olivier Nerot

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