Handbook of natural computing T Bäck, JN Kok, G Rozenberg Springer, Heidelberg, 2012 | 519 | 2012 |

Computing with spiking neuron networks. H Paugam-Moisy, SM Bohte Handbook of natural computing 1, 1-47, 2012 | 389 | 2012 |

Delay learning and polychronization for reservoir computing H Paugam-Moisy, R Martinez, S Bengio Neurocomputing 71 (7-9), 1143-1158, 2008 | 166 | 2008 |

An introduction to deep learning FQ Lauzon 2012 11th International Conference on Information Science, Signal Processing …, 2012 | 152 | 2012 |

An introduction to deep learning L Arnold, S Rebecchi, S Chevallier, H Paugam-Moisy European Symposium on Artificial Neural Networks (ESANN), 2011 | 144 | 2011 |

Overview of facts and issues about neural coding by spikes B Cessac, H Paugam-Moisy, T Viéville Journal of Physiology-Paris 104 (1-2), 5-18, 2010 | 95 | 2010 |

A new multi-class SVM based on a uniform convergence result Y Guermeur, A Elisseeff, H Paugam-Moisy Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000 | 92 | 2000 |

Combining protein secondary structure prediction models with ensemble methods of optimal complexity Y Guermeur, G Pollastri, A Elisseeff, D Zelus, H Paugam-Moisy, P Baldi Neurocomputing 56, 305-327, 2004 | 56 | 2004 |

Size of multilayer networks for exact learning: analytic approach A Elisseeff, H Paugam-Moisy Advances in Neural Information Processing Systems 9, 1996 | 52 | 1996 |

Spiking neuron networks a survey H Paugam-Moisy IDIAP, 2006 | 43 | 2006 |

Multilayer neural networks: one or two hidden layers? G Brightwell, C Kenyon, H Paugam-Moisy Advances in Neural Information Processing Systems 9, 1996 | 37 | 1996 |

Parallel neural computing based on network duplicating H Paugam-Moisy Parallel algorithms: for digital image processing, computer vision and …, 1993 | 35 | 1993 |

A supervised learning approach based on STDP and polychronization in spiking neuron networks H Paugam-Moisy, R Martinez, S Bengio IDIAP, 2006 | 34 | 2006 |

A scalable parallel algorithm for training a hierarchical mixture of neural experts PA Estevez, H Paugam-Moisy, D Puzenat, M Ugarte Parallel Computing 28 (6), 861-891, 2002 | 33 | 2002 |

Algorithms for structural and dynamical polychronous groups detection R Martinez, H Paugam-Moisy Artificial Neural Networks–ICANN 2009: 19th International Conference …, 2009 | 31 | 2009 |

Théorie de l’apprentissage de Vapnik et SVM, Support Vector Machines Y Guermeur, H Paugam-Moisy Apprentissage automatique, 109-138, 1999 | 31 | 1999 |

Damned: A distributed and multithreaded neural event-driven simulation framework A Mouraud, D Puzenat, H Paugam-Moisy arXiv preprint cs/0512018, 2005 | 21 | 2005 |

Estimating the sample complexity of a multi-class discriminant model Y Guermeur, A Elisseeff, H Paugam-Moisy 1999 Ninth International Conference on Artificial Neural Networks ICANN 99 …, 1999 | 19 | 1999 |

Design of an expert distance metric for climate clustering: The case of rainfall in the Lesser Antilles E Biabiany, DC Bernard, V Pagé, H Paugam-Moisy Computers & Geosciences 145, 104612, 2020 | 17 | 2020 |

Multiprocessor simulation of neural networks H Paugam-Moisy The Handbook of Brain Theory and Neural Networks, 605-608, 1998 | 17 | 1998 |