Thèse Sciences Cognitives - Olivier Nerot

Mémorisation par forçage des dynamiques chaotiques dans les modèles connexionnistes récurrents
BIBLIOGRAPHIE GENERALE
Certaines des références indiqueées sont incomplètes, et correspondent en général à des fichiers récupérés
sur les sites ftp des auteurs.
[1] Sergey K. Aityan.. Recurrent refractory neural field IEEE. O-7803-0559-0/92 .p 140-145 (1992)
[2] Almeida. Backpropagation in non-feedforward networks. Dans Neural Computing architectures.
North Oxford Academic. Aleksander eds. (1989)
[3] Amit. Storage and retrieval of temporal sequences. p 215-264. Modeling brain functions.
[4] Daniel J. Amit. (ilios.fiz.huji.ac.il). The hebbian paradigm reintegrated : local reverberations as
internal representations. Behavioral and Brain Sciences. No18. p617-657. (1995)
[5] Amir Atiya. Unifying recurrent network trining algorithms. World congress on neural networks.
Portland. Vol.3. p 585-588 (1993)
[6] Amir Atiya, Pierre Baldi. Oscillations and Synchronizations in neural networks : an exploration
of the labelling hypothesis. International Journal of Neural Systems. Vol. 1. No. 2. p 103-124.
(1989)
[7] Alex Aussem (aaussem@eso.org). Training dynamical recurrent neural networks with the
temporal recurrent back-propagation algorithm : application to the time series prediction and
characterization.
[8] Alex Aussem (aaussem@eso.org), Fion Murtagh, Marc Sarazin. Dynamical recurrent neural
networks- towards environmental time series prediction. International Journal of Neural Systems.
Vol. 6. no.2 .p 145-170. (1995)
[9] A. Babloyantz, A. Destexhe. Nonlinear analysis and modelling of cortical activity. Mathematics
applied to biology and medecine. J. Demongeot, V. Capasso (edts). ISBN 0-920063-63-2. p 35-
48 (1993)
[10] A. Babloyantz, C. Lourenço. Computation with chaos. A paradigm for cortical activity. Proc.
Natl. Acad. Sci. USA. Vol.91, p.9027. (1994)
[11] Back, A.C Tsoi. FIR and IIR synapses, a new neural network architecture for time series
modeling. Neural computation. 3. p 375-385. (1991)
[12] A. Baddeley. La mémoire humaine : theorie et pratique. Editions PUG. (1993)
[13] Pierre Baldi, Amir Atiya. How delays affect neural dynamics and learning.
[14] Françoise Beaufays, Eric. A. Wan. Relating real-time backpropagation and backpropagation
through time : an application of flow graph interreciprocity.
[15] Yoshua Bengio (bengioy@iro.umontreal.ca), Paolo Frasconi(paolo@mcculloch.ing.unifi.it) .An
EM approach to learning sequential behavior. Technical report. DSI 11/94. Università di
Firenze. (1994)
[16] Yoshua Bengio, Paolo Frasconi, Marco Gori, Giovanni Soda. Recurrent neural networks for
adaptative temporal processing. Proc. of the 6th italian workshop on parallel architecture and
neural networks. WIRN93. 1993, p85-117. (1993)
[17] Henri Berson. Matière et mémoire. Essai sur la relation du corps à l’esprit. (1896)
Bibliographie Générale 219