Hélène Paugam-Moisy

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A Distributed and Multithreaded Neural Event Driven Simulation Framework pdf

Anthony Mouraud, Hélène Paugam-Moisy, Didier Puzenat, 2006, Parallel and Distributed Computing and Networks.

A Incremental Neural Classifier on a MIMD Parallel Computer

Arnulfo P. Azcarraga, Hélène Paugam-Moisy, Didier Puzenat, 1994, Applications in Parallel and Distributed Computing.

Parallel Implementation of RBF Neural Networks

Hélène Paugam-Moisy, Frédéric Desprez, V. Demian, 1996, Euro-Par, Vol. II.

Bidirectional Associative Memory for Multimodal Fusion : a Depression Evaluation Case Study

Hélène Paugam-Moisy, Stéphane Cholet, Sébastien Régis, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

An Introduction to Deep Learning

Sébastien Rebecchi, Sylvain Chevallier, Hélène Paugam-Moisy, 2011, ESANN.

Complexity Issues in Neural Network Computations

Hélène Paugam-Moisy, Pascal Koiran, Michel Cosnard, 1992, LATIN.

A "spiking" bidirectional associative memory for modeling intermodal priming

Hélène Paugam-Moisy, David Meunier, H. Paugam-Moisy, 2004, Neural Networks and Computational Intelligence.

Diagnostic automatique de l'état dépressif(Classification of depressive moods)

Hélène Paugam-Moisy, Stéphane Cholet, H. Paugam-Moisy, 2018, CNIA+RJCIA.

Learning and discrimination through STDP in a top-down modulated associative memory

Anthony Mouraud, Hélène Paugam-Moisy, H. Paugam-Moisy, 2006, ESANN.

Emergence of temporal and spatial synchronous behaviors in a foraging swarm

Sylvain Chevallier, Hélène Paugam-Moisy, Michèle Sebag, 2011, ECAL.

Neural networks for modelling memory : case studies

Hélène Paugam-Moisy, Didier Puzenat, Emanuelle Reynaud, 2002, ESANN.

A supervised learning approach based on STDP and polychronization in spiking neuron networks

Samy Bengio, Hélène Paugam-Moisy, Régis Martinez, 2007, ESANN.

SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system

Sylvain Chevallier, Hélène Paugam-Moisy, Michèle Sebag, 2010, NIPS.

Neural networks for computational neuroscience

Hélène Paugam-Moisy, David Meunier, H. Paugam-Moisy, 2008, ESANN.

Simulation d'un amorçage intermodal sur un réseau de neurones impulsionnels

Hélène Paugam-Moisy, David Meunier, 2005, Rev. d'Intelligence Artif..

The DAMNED Simulator for Implementing a Dynamic Model of the Network Controlling Saccadic Eye Movements

Anthony Mouraud, Hélène Paugam-Moisy, Alain Guillaume, 2010, ICANN.

Priming an Artificial Associative Memory

Hélène Paugam-Moisy, Didier Puzenat, Cédric Bertolini, 1999, IWANN.

Spiking Neuron Networks A survey

Hélène Paugam-Moisy, 2006 .

JNN, a randomized algorithm for training multilayer networks in polynomial time

Hélène Paugam-Moisy, André Elisseeff, A. Elisseeff, 1999, Neurocomputing.

Prototype-based Classifier for Automatic Diagnosis of Depressive Mood

Hélène Paugam-Moisy, Stéphane Cholet, H. Paugam-Moisy, 2018, 2018 International Conference on Biomedical Engineering and Applications (ICBEA).

Saliency extraction with a distributed spiking neural network

Sylvain Chevallier, Hélène Paugam-Moisy, Philippe Tarroux, 2006, ESANN.

Strategies of Weight Updating for Parallel Back-propagation

Hélène Paugam-Moisy, D. Girard, 1994, Applications in Parallel and Distributed Computing.

Overview of facts and issues about neural coding by spikes

Bruno Cessac, Hélène Paugam-Moisy, Thierry Viéville, 2010, Journal of Physiology-Paris.

Computing with Spiking Neuron Networks

Sander M. Bohte, Hélène Paugam-Moisy, S. Bohté, 2012, Handbook of Natural Computing.

Algorithms for Structural and Dynamical Polychronous Groups Detection

Hélène Paugam-Moisy, Régis Martinez, H. Paugam-Moisy, 2009, ICANN.

Bounds on the Generalization Ability of Bayesian Inference and Gibbs Algorithms

Olivier Teytaud, Hélène Paugam-Moisy, 2001, ICANN.

From neuronal cost-based metrics towards sparse coded signals classification

Cédric Gouy-Pailler, Anthony Mouraud, Hélène Paugam-Moisy, 2012, ESANN.

Multiprocessor simulation of neural networks

Hélène Paugam-Moisy, 1998 .

Load sharing in the training set partition algorithm for parallel neural learning

Bernard Girau, Hélène Paugam-Moisy, 1995, Proceedings of 9th International Parallel Processing Symposium.

Size of Multilayer Networks for Exact Learning: Analytic Approach

Hélène Paugam-Moisy, André Elisseeff, A. Elisseeff, 1996, NIPS.

Combining protein secondary structure prediction models with ensemble methods of optimal complexity

Gianluca Pollastri, Hélène Paugam-Moisy, Yann Guermeur, 2004, Neurocomputing.

Polychronous groups for analyzing self-organization in spiking neuron networks

Hélène Paugam-Moisy, Regis Martinez, 2010 .

A computational model for binding sensory modalities

Hélène Paugam-Moisy, Didier Puzenat, Emanuelle Reynaud, 2000 .

Multilayer Neural Networks: One or Two Hidden Layers?

Claire Mathieu, Hélène Paugam-Moisy, Graham R. Brightwell, 1996, NIPS.

Cluster detection algorithm in neural networks

Hélène Paugam-Moisy, David Meunier, 2006, ESANN.

Learning Methods for Odor Recognition Modeling

Hélène Paugam-Moisy, S. Amghar, J. P. Royet, 1992, IPMU.

Delay learning and polychronization for reservoir computing

Samy Bengio, Hélène Paugam-Moisy, Régis Martinez, 2008, Neurocomputing.

A new multi-class SVM based on a uniform convergence result

Hélène Paugam-Moisy, Yann Guermeur, André Elisseeff, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Distributed Processing for Modelling Real-Time Multimodal Perception in a Virtual Robot

Sylvain Chevallier, Hélène Paugam-Moisy, François Lemaître, 2005, Parallel and Distributed Computing and Networks.

Learning and Self Organizing in Spiking Neuron Networks

Hélène Paugam-Moisy, H. Paugam-Moisy, 2007 .

Learning Sparse Features with an Auto-Associator

Sébastien Rebecchi, Hélène Paugam-Moisy, Michèle Sebag, 2014, Growing Adaptive Machines.

Estimating the sample complexity of a multi-class discriminant model

Hélène Paugam-Moisy, Yann Guermeur, André Elisseeff, 1999 .

Linear Ensemble Methods for Multiclass Discrimination

Hélène Paugam-Moisy, Yann Guermeur, 1998 .