| Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learning E Dauce, M Quoy, B Cessac, B Doyon, M Samuelides Neural networks 11 (3), 521-533, 1998 | 70 | 1998 |
| Multistability in large scale models of brain activity M Golos, V Jirsa, E Daucé PLoS computational biology 11 (12), e1004644, 2015 | 36 | 2015 |
| Random recurrent neural networks for autonomous system design E Dauce, M Quoy SAB 2000, Paris, 2000 | 30 | 2000 |
| Resonant spatiotemporal learning in large random recurrent networks E Dauce, M Quoy, B Doyon Biological Cybernetics 87 (3), 185-198, 2002 | 25 | 2002 |
| Mean-field theory and synchronization in random recurrent neural networks E Dauce, O Moynot, O Pinaud, M Samuelides Neural Processing Letters 14 (2), 115-126, 2001 | 20 | 2001 |
| Temporal pattern identification using spike-timing dependent plasticity F Henry, E Daucé, H Soula Neurocomputing 70 (10-12), 2009-2016, 2007 | 16 | 2007 |
| Learning and control with chaos: From biology to robotics M Quoy, JP Banquet, E Daucé Behavioral and Brain Sciences 24 (5), 824, 2001 | 10 | 2001 |
| Hebbian learning in large recurrent neural networks E Daucé, F Henry Movement and Perception Lab, Marseille, 2006 | 9 | 2006 |
| Active fovea-based vision through computationally-effective model-based prediction E Daucé Frontiers in neurorobotics 12, 76, 2018 | 7 | 2018 |
| CoAdapt P300 speller: optimized flashing sequences and online learning E Thomas, E Daucé, D Devlaminck, L Mahé, A Carpentier, R Munos, ... 6th International Brain Computer Interface Conference, 2014 | 7 | 2014 |
| Optimizing P300-speller sequences by RIP-ping groups apart E Thomas, M Clerc, A Carpentier, E Daucé, D Devlaminck, R Munos 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER …, 2013 | 7 | 2013 |
| Short term memory in recurrent networks of spiking neurons E Daucé Natural Computing 3 (2), 135-157, 2004 | 7 | 2004 |
| Adaptation dynamique et apprentissage dans des réseaux de neurones récurrents aléatoires E Daucé | 7 | 2000 |
| Learning and control with large dynamic neural networks E Daucé The European Physical Journal Special Topics 142 (1), 123-161, 2007 | 6 | 2007 |
| Adaptive methods in machine learning M Clerc, E Daucé, J Mattout Brain–Computer Interfaces 1: Foundations and Methods, 207-232, 2016 | 5 | 2016 |
| Passive-aggressive bounds in bandit feedback classification H Zhong, E Daucé Proceedings of the ECMLPKDD, 255-264, 2015 | 5 | 2015 |
| P300-speller adaptivity to change with a backspace key E Daucé, T Proix Proceedings of the Fourth Workshop on Tools for Brain Computer Interaction …, 2013 | 5 | 2013 |
| Hebbian reinforcement learning in a modular dynamic network E Daucé Proceedings of the Eighth International Conference on Simulation of Adaptive …, 2004 | 5 | 2004 |
| Traité de Sciences Cognitives: Approche dynamique de la cognition artificielle A Guillot, E Daucé | 5 | 2002 |
| Reward-based online learning in non-stationary environments: Adapting a P300-speller with a “backspace” key E Daucé, T Proix, L Ralaivola 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 4 | 2015 |
bruno cessacINRIAVerified email at inria.fr
