Emmanuel Daucé

According to our database, Emmanuel Daucé authored at least 26 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Retinotopic Mapping Enhances the Robustness of Convolutional Neural Networks.

Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U. Perrinet

CoRR, 2024

Non-instructed Motor Skill Learning in Monkeys: Insights from Deep Reinforcement Learning Models.

Laurène Carminatti, Lucio Condro, Alexa Riehle, Sonja Grün, Thomas Brochier, Emmanuel Daucé

Proceedings of the From Animals to Animats 17, 2024

2023

Retinotopy Improves the Categorisation and Localisation of Visual Objects in CNNs.

Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U. Perrinet

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

Concurrent Credit Assignment for Data-efficient Reinforcement Learning.

Emmanuel Daucé

Proceedings of the International Joint Conference on Neural Networks, 2022

What You See Is What You Transform: Foveated Spatial Transformers as a bio-inspired attention mechanism.

Ghassan Dabane, Laurent U. Perrinet, Emmanuel Daucé

Proceedings of the International Joint Conference on Neural Networks, 2022

2020

Visual Search as Active Inference.

Emmanuel Daucé, Laurent Perrinet

Proceedings of the Active Inference - First International Workshop, 2020

End-Effect Exploration Drive for Effective Motor Learning.

Emmanuel Daucé

Proceedings of the Active Inference - First International Workshop, 2020

2018

Active Fovea-Based Vision Through Computationally-Effective Model-Based Prediction.

Emmanuel Daucé

Frontiers Neurorobotics, 2018

2017

Toward predictive machine learning for active vision.

Emmanuel Daucé

CoRR, 2017

2016

Predicting the consequence of action in digital control state spaces.

Emmanuel Daucé

CoRR, 2016

Apprentissage et Contrôle dans les Architectures Neuronales. (Learning and Control in Neuronal Architectures).

Emmanuel Daucé

, 2016

2015

Multistability in Large Scale Models of Brain Activity.

Mathieu Golos, Viktor K. Jirsa, Emmanuel Daucé

PLoS Comput. Biol., 2015

Reward-based online learning in non-stationary environments: Adapting a P300-speller with a "backspace" key.

Emmanuel Daucé, Timothée Proix, Liva Ralaivola

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Online multiclass learning with "bandit" feedback under a Passive-Aggressive approach.

Hongliang Zhong, Emmanuel Daucé, Liva Ralaivola

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014

Evidence build-up facilitates on-line adaptivity in dynamic environments: example of the BCI P300-speller.

Emmanuel Daucé, Eoin M. Thomas

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Toward STDP-based population action in large networks of spiking neurons.

Emmanuel Daucé

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013

Fast online adaptivity with policy gradient: example of the BCI "P300"-speller.

Emmanuel Daucé, Timothée Proix, Liva Ralaivola

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2009

A Model of Neuronal Specialization Using Hebbian Policy-Gradient with "Slow" Noise.

Emmanuel Daucé

Proceedings of the Artificial Neural Networks, 2009

2008

Emergence of stimulus-specific synchronous response through STDP in recurrent neural networks.

Frédéric Henry, Emmanuel Daucé

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007

Temporal pattern identification using spike-timing dependent plasticity.

Frédéric Henry, Emmanuel Daucé, Hédi Soula

Neurocomputing, 2007

2002

Resonant spatiotemporal learning in large random recurrent networks.

Emmanuel Daucé, Mathias Quoy, Bernard Doyon

Biol. Cybern., 2002

2001

Mean-field Theory and Synchronization in Random Recurrent Neural Networks.

Emmanuel Daucé, Olivier Moynot, Olivier Pinaud, Manuel Samuelides

Neural Process. Lett., 2001

Learning from Chaos: A Model of Dynamical Perception.

Emmanuel Daucé

Proceedings of the Artificial Neural Networks, 2001

2000

Adaptation dynamique et apprentissage dans des réseaux de neurones récurrents aléatoires. (Dynamic adaptation and learning in random recurrent neural networks).

Emmanuel Daucé

PhD thesis, 2000

1999

Mean-field equations reveal synchronization in a 2-populations neural network model.

Emmanuel Daucé, Olivier Moynot, Olivier Pinaud, Manuel Samuelides, Bernard Doyon

Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1998

Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learning.

Emmanuel Daucé, Mathias Quoy, Bruno Cessac, Bernard Doyon, Manuel Samuelides

Neural Networks, 1998