W. Singer, Neural synchrony: A versatile code for the definition of relations? Neuron, pp.49-65, 1999.

C. Tallon-baudry, O. Bertrand, and C. Fischer, Oscillatory synchrony between human extrastriate areas during visual short-term memory maintenance, J. Neuroscience, vol.21, pp.1-5, 2001.

E. M. Izhikevich, J. A. Gally, and G. M. Edelman, Spike-timing Dynamics of Neuronal Groups, Cerebral Cortex, vol.14, issue.8, pp.933-944, 2004.
DOI : 10.1093/cercor/bhh053

D. Meunier and H. Paugam-moisy, Inhibition and spiketime-dependent plasticity govern the formation and disruption of a distributed synchronized neural assembly. (submitted ), 2005.

W. Maass, Networks of spiking neurons: The third generation of neural network models, Neural Networks, vol.10, issue.9, pp.1659-1671, 1997.
DOI : 10.1016/S0893-6080(97)00011-7

J. J. Hopfield and C. D. Brody, What is a moment? Transient synchrony as a collective mechanism for spatiotemporal integration, Proc. Natl. Acad. Sci, pp.1282-1287, 2001.
DOI : 10.1073/pnas.87.18.7200

R. Legenstein, C. Naeger, and W. Maass, What Can a Neuron Learn with Spike-Timing-Dependent Plasticity?, Neural Computation, vol.20, issue.4, pp.2337-2382, 2005.
DOI : 10.1038/78829

J. Sima and J. Sgall, On the Nonlearnability of a Single Spiking Neuron, Neural Computation, vol.17, issue.12, pp.2635-2647, 2005.
DOI : 10.1145/1968.1972

A. Delorme, J. Gautrais, R. Van-rullen, and S. Thorpe, SpikeNET: A simulator for modeling large networks of integrate and fire neurons, Neurocomputing, vol.26, issue.27, pp.26-27989, 1999.
DOI : 10.1016/S0925-2312(99)00095-8

J. M. Bower and D. Beeman, The Book of GENESIS: Exploring Realistic Neural Models with the GEneral SImulation System, 1998.

M. L. Hines and N. T. Carnevale, The NEURON Simulation Environment, Neural Computation, vol.15, issue.6, pp.1179-1209, 1997.
DOI : 10.1088/0954-898X_5_1_002

L. Watts, Event-driven simulation of networks of spiking neurons, Advances in Neural Information Processing System, pp.927-934, 1994.

M. Mattia and P. Del-giudice, Efficient Event-Driven Simulation of Large Networks of Spiking Neurons and Dynamical Synapses, Neural Computation, vol.12, issue.10, pp.2305-2329, 2000.
DOI : 10.1038/1131

T. Makino, A Discrete-Event Neural Network Simulator for General Neuron Models, Neural Computing & Applications, vol.11, issue.3-4, pp.210-223, 2003.
DOI : 10.1007/s00521-003-0358-z
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.4388

O. Rochel and D. Martinez, An event-driven framework for the simulation of networks of spiking neurons, ESANN'03, European Symposium on Artificial Neural Network, pp.295-300, 2003.
URL : https://hal.archives-ouvertes.fr/inria-00099501

J. Reutimann, M. Giugliano, and S. Fusi, Event-Driven Simulation of Spiking Neurons with Stochastic Dynamics, Neural Computation, vol.19, issue.21, pp.811-830, 2003.
DOI : 10.1038/1131

Y. Boniface, F. Alexandre, and S. Vialle, A Library to Implement Neural Networks on MIMD Machines???, Proc. of Euro-Par, pp.935-938, 1999.
DOI : 10.1007/3-540-48311-X_130
URL : https://hal.archives-ouvertes.fr/inria-00099014

P. A. Estévez, H. Paugam-moisy, D. Puzenat, and M. Ugarte, A scalable parallel algorithm for training a hierarchical mixture of neural experts, Parallel Computing, vol.28, issue.6, pp.861-891, 2002.
DOI : 10.1016/S0167-8191(02)00078-9

A. Jahnke, T. Schoneauer, U. Roth, K. Mohraz, and H. Klar, Simulation of spiking neural networks on different hardware platforms, ICANN'1997, Int. Conf. on Artificial Neural Networks Artificial neural networks on massively parallel computer hardware. Neurocomputing, pp.1187-1192135, 1997.
DOI : 10.1007/BFb0020312

H. H. Hellmich, M. Geike, P. Griep, M. Rafanelli, and H. Klar, Emulation engine for spiking neurons and adaptive synaptic weights, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005., pp.3261-3266, 2005.
DOI : 10.1109/IJCNN.2005.1556450

A. Fersha, Parallel and distributed simultation of discret event systems, Parallel and Distributed Computing Handbook, 1995.

C. Grassmann and J. K. Anlauf, Distributed, event-driven simulation of spiking neural networks, NC'98, International ICSC/IFAC Symposium on Neural Computation, pp.100-105, 1998.

R. Preis, K. Salzwedel, C. Wolff, and G. Hartmann, Efficient parallel simulation of pulse-coded neural networks (pcnn), PDPTA'2001, International Conference on Parallel and Distributed Processing Techniques and Applications, 2001.

C. Grassmann, T. Schoenauer, and C. Wolff, Pcnn neurocomputeurs -event driven and parallel architectures, ESANN'02, European Symposium on Artificial Neural Nrtwork, pp.331-336, 2002.

H. Paugam-moisy, Multiprocessor simulation of neural networks The Handbook of Brain Theory and Neural Networks, pp.605-608, 1995.

W. Gerstner and W. Kistler, Spiking Neuron Models: Single Neurons, Populations, Plasticity, 2002.
DOI : 10.1017/CBO9780511815706