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2020 – today
- 2024
[c15]Laurène Carminatti, Lucio Condro, Alexa Riehle, Sonja Grün, Thomas Brochier, Emmanuel Daucé:
Non-instructed Motor Skill Learning in Monkeys: Insights from Deep Reinforcement Learning Models. SAB 2024: 263-274- [i5]Jean-Nicolas Jérémie, Emmanuel Daucé
, Laurent U. Perrinet:
Retinotopic Mapping Enhances the Robustness of Convolutional Neural Networks. CoRR abs/2402.15480 (2024) - 2023
- [c14]Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U. Perrinet:
Retinotopy Improves the Categorisation and Localisation of Visual Objects in CNNs. ICANN (1) 2023: 574-584 - 2022
- [c13]Ghassan Dabane, Laurent U. Perrinet, Emmanuel Daucé:
What You See Is What You Transform: Foveated Spatial Transformers as a bio-inspired attention mechanism. IJCNN 2022: 1-8 - [c12]Emmanuel Daucé:
Concurrent Credit Assignment for Data-efficient Reinforcement Learning. IJCNN 2022: 1-8 - [i4]Emmanuel Daucé:
Concurrent Credit Assignment for Data-efficient Reinforcement Learning. CoRR abs/2205.12020 (2022) - 2020
- [c11]Emmanuel Daucé:
End-Effect Exploration Drive for Effective Motor Learning. IWAI 2020: 114-124 - [c10]Emmanuel Daucé, Laurent Perrinet:
Visual Search as Active Inference. IWAI 2020: 165-178 - [i3]Emmanuel Daucé:
End-Effect Exploration Drive for Effective Motor Learning. CoRR abs/2006.15960 (2020)
2010 – 2019
- 2018
- [j7]Emmanuel Daucé:
Active Fovea-Based Vision Through Computationally-Effective Model-Based Prediction. Frontiers Neurorobotics 12: 76 (2018) - 2017
- [i2]Emmanuel Daucé:
Toward predictive machine learning for active vision. CoRR abs/1710.10460 (2017) - 2016
- [b2]Emmanuel Daucé:
Apprentissage et Contrôle dans les Architectures Neuronales. (Learning and Control in Neuronal Architectures). Aix-Marseille University, Aix-en-Provence, France, 2016 - [i1]Emmanuel Daucé:
Predicting the consequence of action in digital control state spaces. CoRR abs/1609.09681 (2016) - 2015
- [j6]Mathieu Golos, Viktor K. Jirsa, Emmanuel Daucé:
Multistability in Large Scale Models of Brain Activity. PLoS Comput. Biol. 11(12) (2015) - [c9]Hongliang Zhong, Emmanuel Daucé, Liva Ralaivola:
Online multiclass learning with "bandit" feedback under a Passive-Aggressive approach. ESANN 2015 - [c8]Emmanuel Daucé, Timothée Proix, Liva Ralaivola:
Reward-based online learning in non-stationary environments: Adapting a P300-speller with a "backspace" key. IJCNN 2015: 1-8 - 2014
- [c7]Emmanuel Daucé:
Toward STDP-based population action in large networks of spiking neurons. ESANN 2014 - [c6]Emmanuel Daucé, Eoin M. Thomas:
Evidence build-up facilitates on-line adaptivity in dynamic environments: example of the BCI P300-speller. ESANN 2014 - 2013
- [c5]Emmanuel Daucé, Timothée Proix, Liva Ralaivola:
Fast online adaptivity with policy gradient: example of the BCI "P300"-speller. ESANN 2013
2000 – 2009
- 2009
- [c4]Emmanuel Daucé:
A Model of Neuronal Specialization Using Hebbian Policy-Gradient with "Slow" Noise. ICANN (1) 2009: 218-228 - 2008
- [c3]Frédéric Henry, Emmanuel Daucé:
Emergence of stimulus-specific synchronous response through STDP in recurrent neural networks. ESANN 2008: 379-384 - 2007
- [j5]Frédéric Henry, Emmanuel Daucé, Hédi Soula:
Temporal pattern identification using spike-timing dependent plasticity. Neurocomputing 70(10-12): 2009-2016 (2007) - 2002
- [j4]Emmanuel Daucé, Mathias Quoy, Bernard Doyon:
Resonant spatiotemporal learning in large random recurrent networks. Biol. Cybern. 87(3): 185-198 (2002) - [j3]Emmanuel Daucé, Mathias Quoy, Bernard Doyon:
Resonant spatiotemporal learning in large random recurrent networks. Biol. Cybern. 87(4): 315 (2002) - 2001
- [j2]Emmanuel Daucé, Olivier Moynot, Olivier Pinaud, Manuel Samuelides:
Mean-field Theory and Synchronization in Random Recurrent Neural Networks. Neural Process. Lett. 14(2): 115-126 (2001) - [c2]Emmanuel Daucé:
Learning from Chaos: A Model of Dynamical Perception. ICANN 2001: 1129-1134 - 2000
- [b1]Emmanuel Daucé:
Adaptation dynamique et apprentissage dans des réseaux de neurones récurrents aléatoires. (Dynamic adaptation and learning in random recurrent neural networks). Institut supérieur de l'aéronautique et de l'espace, Toulouse, France, 2000
1990 – 1999
- 1999
- [c1]Emmanuel Daucé, Olivier Moynot, Olivier Pinaud, Manuel Samuelides, Bernard Doyon:
Mean-field equations reveal synchronization in a 2-populations neural network model. ESANN 1999: 7-12 - 1998
- [j1]Emmanuel Daucé, Mathias Quoy, Bruno Cessac, Bernard Doyon, Manuel Samuelides:
Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learning. Neural Networks 11(3): 521-533 (1998)
Coauthor Index
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