Publications

Scientific activity since 1995

Daucé, E. (1995) Dynamique chaotique et apprentissage au sein de réseaux neuromimétiques, rapport de DEA Représentation de la Connaissance et Formalisation du Raisonnement, 26 juin 1995, Université Paul Sabatier, Toulouse, France.
Cessac, B., Quoy, M., Daucé, E. Doyon, B. and Samuelides, M. (1996) Learning in a chaotic neural network, proc. of workshop on Neural Network Dynamics and Pattern Recognition (DYNN'96), 12-13 mars, Toulouse, France.

Daucé, E. and Doyon, B. (1998) Un processus d'apprentissage hebbien dans des réseaux dynamiques à temps discret, actes des Neuvièmes journées Neurosciences et Sciences de l'Ingénieur (NSI), may 11-14, Munster, France.
Daucé E. and Doyon, B. (1998) Novelty Learning in a Discrete Time Chaotic Network, proc. of the 8th International Conference on Artificial Neural Networks (ICANN'98), L. Niklasson et al. eds, Vol. 2: 1051-1056, Springer, September 2-4, Skövde, Sweden.

Daucé, E., Quoy, M., Cessac, B., Doyon, B. and Samuelides, M. (1998) Self-organization and dynamics reduction in recurrent networks : stimulus presentation and learning, Neural Network 11(3):521-533.

Daucé, E., Moynot, O., Pinaud, O., Samuelides, M. and Doyon, B. (1999) Mean Field Equations reveal synchronisation in a 2-population neural network model, proc. of the 7th European Symposium On Artificial Neural Networks (ESANN'99), Verleysen, M. ed.:7-12, April 21-23, Bruges, Belgium.
Moynot, O., Daucé, E. and Pinaud, O. (1999) Equations de champ moyen pour les réseaux de neurones à deux populations, actes du IIIème Colloque Jeunes Chercheurs en Sciences Cognitives, B. Vivicorsi et al. eds, 26-28 Avril, Soulac, France.
Daucé, E. and Doyon, B. (1999) Apprentissage dynamique dans les réseaux de neurones, actes du IIIème Colloque Jeunes Chercheurs en Sciences Cognitives, B. Vivicorsi et al. eds, 26-28 Avril, Soulac, France.
Moynot, O., Daucé, E. and Pinaud, O. (1999) Equations de champ moyen pour les réseaux de neurones à deux populations, In Cognito 15:41-46.
Daucé, E. (2000) Adaptation dynamique et apprentissage dans des réseaux de neurones récurrents aléatoires, thèse de doctorat, 13 janvier 2000, ENSAE, Toulouse, France.
Daucé, E. and Doyon, B. (2000) Un modèle neuronal de la reconnaissance de scènes dynamiques, journée thématique PRESCOT apprentissage dans les systèmes naturels et artificiels, 5 mai 2000, LAAS, Toulouse, France.
Quoy M. and Daucé, E. (2000) Visual and motor learning using a chaotic recurrent neural network: application to the control of a mobile robot, proc. of the Second International ICSC Symposium on Neural Computation (NC2000), Bohte, H. and Rojas, R. eds: 577-582, May 23-26, Berlin, Germany.
Daucé, E. (2000) Apprentissage et reconnaissance de signaux spatio-temporels sur des réseaux neuronaux à dynamiques complexes, VIIIe Journée d'Etude ACCION : théorie du chaos et sciences de la cognition : Chimère ou Réalité, 29-30 Juin, Aix-en Provence, France.
Daucé E. and Quoy, M. (2000) Random recurrent neural networks for autonomous systems design, additional, proc. of the sixth international conference on Simulation of Adaptive Behavior : From Animals to Animats (SAB 2000), Meyer, J.-A. et al. eds:31-40, Sept. 11-15, Paris, France.
Daucé, E. (2000) Dynamical memories on large recurrent neural networks, proc. of international workshop on Dynamical Neural Networks and applications (DYNN'2000), Nov. 20-25, Bielefeld, Germany.

Daucé, E. (2001) Adaptation dynamique dans les réseaux chaotiques, actes du IVème Colloque Jeunes Chercheurs en Sciences Cognitives, Institut des Sciences Cognitives, 2-4 mai, Lyon, France.
Daucé, E. (2001) Learning from chaos : a model of dynamical perception, proc. of the International Conference on Artificial Neural Networks (ICANN 2001), Dorffner, G et al eds, Lecture Notes in Computer Sciences 2130:1129-1134, Vienna, Austria, August 21-25.
Daucé, E., Moynot, O., Pinaud, O. and Samuelides, M. (2001) Mean Field Theory and Synchronization in Random Recurrent Neural Networks, Neural Processing Letters 14:115-126.
Quoy, M., Banquet, J.-P. and Daucé, E. (2001) Learning and control with chaos : from biology to robotics, Behavioral and Brain Sciences 24(5):824-825.

Daucé, E., Quoy, M. and Doyon, B. (2002) Resonant spatio-temporal learning in large random recurrent networks, Biol.Cybern. 87(3):185-198.
Guillot, A. and Daucé, E. éds (2002) Approche dynamique de la cognition artificielle, Lavoisier, Paris, France.
Daucé, E. (2002) Systèmes dynamiques pour les sciences cognitives, in Approche dynamique de la cognition artificielle, Guillot, A. and Daucé, E. eds :33-44, Lavoisier, Paris, France.
Beslon, G. and Daucé, E. (2002) Modularité et apprentissage dans les réseaux de neurones récurrents, in Approche dynamique de la cognition artificielle, Guillot, A. and Daucé, E. eds :61-80, Lavoisier, Paris, France.
Daucé, E. and Quoy, M. (2002) Mémoire dynamique et planification, in Approche dynamique de la cognition artificielle, Guillot, A. and Daucé, E. eds :97-113, Lavoisier, Paris, France.
Daucé, E and Guillot, A. (2002), Conclusion, in Approche dynamique de la cognition artificielle, Guillot, A. and Daucé, E. eds :303-306, Lavoisier, Paris, France.
Daucé, E (2003) Dynamics of Neural Networks II - simulation and learning , Journées post-génomiques de la Douai (JPGD), may 14-16, Lyon, France.
Daucé, E. (2003) Dynamic Retention in Recurrent Networks of Spiking Neurons, proc. of the workshop on the FUture of Neural Networks (FUNN 2003), Thirtieth International Colloquium on Automata, Languages and Programming, June 30 - July 4, Eindhoven, The Netherlands.
Daucé, E. (2004) Local and global causality in biomimetic systems, journées d'étude Emergentisme dynamique et fondement des sciences de la cognition, séminaires d'épistémologie des sciences cognitives, ENS-LSH, 22-24 avril 2004, Lyon, France.
Daucé, E. (2004) Short term memory in recurrent networks of spiking neurons, Natural Computing 3:135-157
Daucé, E. (2004) Différentes méthodes d'apprentissage dans les réseaux récurrents, atelier "Neurosciences intégratives et computationnelles" , ACI "Temps et cerveau", 16-18 juin, CIRM, Luminy, Marseille, France.
Daucé, E. (2004) Hebbian reinforcement learning in a modular dynamic network, proc. of the eighth international conference on Simulation of Adaptive Behavior : From Animals to Animats (SAB*04), Schaal, S. et al. eds:305-314, July 13-17, Los Angeles, CA, USA.
Daucé, E. (2004) The dynamics of appropriation, proc. of the 2nd workshop on Anticipatory Behavior in Adaptive Learning Systems 2004 (ABiALS 2004), July 17th 2004, Los Angeles, CA, USA.

Daucé, E. (2005) Loi de Hebb dans des réseaux aléatoires multi-populations, atelier "Neurosciences intégratives et computationnelles" , ACI "Temps et cerveau", 6-8 juin 2005, Ile Ste Marguerite, Cannes, France.
Daucé, E., Soula, H. and Beslon, G. (2005) Learning Methods for Dynamic Neural Networks, proc. of the 2005 International Symposium on Nonlinear Theory and its Applications (NOLTA'05):598-601, Oct. 18-21, Bruges, Belgium.
Daucé, E. (2005) Dynamics and learning in large random neural networks, Riken Brain Science Institute, october 5, 2005, Saitama, Japan.
Daucé, E. (2006) Apprentissage sensori-moteur sur des réseaux de neurones récurrents aléatoires, Journée "Neurones et réseaux de neurones biologiques : comment les modéliser?", journée du GDR MSPC, 20 janvier 2006, Institut Henri Poincaré, Paris, France.
Henry, F., Daucé, E. and Soula, H. (2006) Temporal Pattern Identification using Spike-Timing Dependent Plasticity (2006), proc. of the 15th annual Computational Neurosciences meeting (CNS*2006), July 16-18, Edinburgh, U.K.

Daucé, E. and Henry, F. (2006) Hebbian Learning in Large Recurrent Neural Networks, proc. of 1ère conférence française des neurosciences computationnelles (Neurocomp'06), Alexandre F. et al. eds : 202-205, Oct. 23-24 , Pont-à-Mousson, France.
Henry, F., Daucé, E. and Soula, H. (2006) Temporal Pattern Identification using Spike Timing Dependent Plasticity, Neurocomputing 70(10-12): 2009-2016.
Daucé, E. (2007) Hebbian learning in large recurrent neural networks, séminaire des laboratoires du Pôle3C, 30 mars 2007, Université de Provence, Marseille, France.
Daucé, E. and Henry, F. (2007) STDP-induced periodic encoding of static patterns in balanced recurrent neural networks, unpublished.
Daucé, E (2007) The dynamics of appropriation. In Butz, M. V., & Baldassarre, G. (2007) : 11-19. Anticipatory behavior in adaptive learning systems. Springer-Verlag Berlin Heidelberg.
Daucé, E. (2007) Learning and Control with large Dynamic Neural Networks, European Physical Journal - Special Topics 142:123-161.
Samuelides, M., Cessac, B., Beslon, G., Daucé, E., Perrinet, L., Quoy, M. and Thorpe, S. (2007) Dynamique des réseaux de neurones artificiels biologiquement plausibles en robotique autonome, Colloque de l'ACI "Neurosciences intégratives et computationnelles", 11-12 juin 2007, Collège de France, Paris, France.

Henry, F. and Daucé, E. (2008) Emergence of stimulus-specific synchronous response through STDP in recurrent neural networks, proc. of the 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning (ESANN 2008), Verleysen, M. ed: 379-384, April 23-25, Bruges, Belgium.
Henry, F. and Daucé, E. (2008) Spike-Timing Dependent Plasticity and regime transitions in random recurrent neural networks, proc. of the second french conference on computational neurosciences (Neurocomp'08), Daucé, E. and Perrinet, L. eds: 291-295, October 8-11, Marseille, France.
Daucé, E. and Perrinet, L. éds (2008) Proceedings of the second French conference on Computational Neuroscience (Neurocomp08), October 8-11, Marseille, France, ISBN 978-2-9532965-0-1.
Daucé, E. (2008) Le projet MAPS : intelligence topographique et adaptation comportementale, Journée scientifique SCHEME (Sciences Cognitives en ingénierie des facteurs Humains et ErgonoMiE), 14 octobre 2008, Toulouse, France.

Henry, F. and Daucé, E. (2009) Formation of synchronous activity through STDP in recurrent neural networks with heterogeneous delays, proc. of the eighteen's annual computational neuroscience meeting (CNS*2009), Johnson D. H. ed, BMC Neuroscience 10 (Suppl 1):P210, July 18-23, Berlin, Germany.
Daucé, E. (2009) A model of cell specialization using a Hebbian Policy-gradient approach with "slow" noise, proc. of the eighteen's annual computational neuroscience meeting (CNS*2009), Johnson D. H. ed, BMC Neuroscience 10 (Suppl 1):P136, July 18-23, Berlin, Germany.
Daucé, E. (2009) A model of neuronal specialization using a Hebbian Policy-gradient approach with "slow" noise, proc. of the 19th International conference on artificial neural networks (ICANN 2009) part I, Alippi, C. et al. eds, Springer-Verlag Berlin, Heidelberg: 218-228, September 14-17, Limassol, Cyprus.
Daucé, E. and Perrinet, L. (2010) Computational Neuroscience from multiple levels to multi-level, J Physiol Paris 104(1-2):1-4.
Daucé, E. (2010) Adapting the noise to the problem : a policy-gradient approach of receptive fields formation, 2eme rencontres du réseau marseillais de neurosciences computationnelles, May 27-28, Marseille, France.
Daucé, E. and Dutech, A. (2010) Inverse Kinematics On-line Learning: a Kernel-Based Policy-Gradient approach, unpublished.
Daucé, E. and Dutech, A. (2010) Online learning with noise : a kernel-based policy-gradient approach, proc. of the fifth french plenary conference on computational neurosciences (Neurocomp’10), Neurocomp ed.:252-257, October 6-8, Lyon, France.
Daucé, E. and Dutech, A. (2010) Cartes topographiques neuronales pour l’apprentissage par renforcement sur des problèmes de contrôle non-linéaire, actes du 10ème colloque africain sur la recherche en informatique et en mathématiques appliquées, 10-18 octobre, Yamoussoukro, Côte d’Ivoire.
Rachez, A., Proix, T., Maby, E., Mattout, J. and Daucé, E (2010) Direct Policy-gradient for on-line learning in BCI, Tools for Brain-Computer Interaction (TOBI) workshop, December 2-3, Rome, Italy.
Malhotra, G. and Daucé, E. (2011) How and where does the brain predict the when: a Bayesian approach to modeling temporal expectation, proc. of the twentieth annual computational neuroscience meeting: CNS*2011, Fellous J.-P. and Prinz, A. eds, BMC Neurosci. 12(Suppl 1): P53, July 23-28, Stockholm, Sweden.
Daucé, E., Mouraud, A. and Guillaume, A. (2011) Simple spatio-temporal transformation with sub-threshold integration in the saccadic system, proc. of the twentieth annual computational neuroscience meeting: CNS*2011, Fellous J.-P. and Prinz, A. eds, BMC Neurosci. 12(Suppl 1): P133, July 23-28, Stockholm, Sweden.
Daucé, E. et Ralaivola, L. (2012) Approche adaptative pour les interfaces cerveau-machine, actes des XIXèmes rencontres de la société francophone de classification, 29-31 octobre, Marseille, France.
Daucé, E. et Proix, T. (2013) P300-speller Adaptivity to Change with a Backspace Key, proc. of TOBI workshop IV: Practical Brain-Computer Interfaces for End-Users: Progresses and Challenges, January 23-25, Sion, Switzerland.
Daucé, E, Proix, T. and Ralaivola, L (2013) Fast online adaptivity with policy gradient: example of the BCI "P300" speller, proc. of the 21th European Symposium on Artificial Neural Networks, computational intelligence and machine learning (ESANN 2013), Verleysen, M. ed.:197-202, April 24-26, Bruges, Belgium.
Daucé, E and Thomas, E (2014) Evidence build-up facilitates on-line adaptivity in dynamic environments: example of the BCI P300-speller, proc. of the 22th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014), Verleysen, M. ed. : 377-382, April 23-25, Bruges, Belgium.
Daucé, E (2014) - Toward STDP-based population action in large networks of spiking neurons, proc. of the 22th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014), Verleysen, M. ed. : 29-34, April 23-25, Bruges, Belgium.