R. Frostig, R. Frysinger, and R. Harper, Recurring discharge patterns in multiple spike trains, Biological Cybernetics, vol.9, issue.6, pp.495-502, 1990.
DOI : 10.1007/BF00205111

Y. Prut, E. Vaadia, H. Bergman, I. Haalman, and H. Slovin, Spatiotemporal structure of cortical activity: properties and behavioral relevance, J Neurophysiol, vol.79, pp.2857-2874, 1998.

J. Fellous, P. Tiesinga, P. Thomas, and T. Sejnowski, Discovering Spike Patterns in Neuronal Responses, Journal of Neuroscience, vol.24, issue.12, pp.2989-3001, 2004.
DOI : 10.1523/JNEUROSCI.4649-03.2004

H. Markram, J. Lubke, M. Frotscher, and B. Sakmann, Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs, Science, vol.275, issue.5297, pp.213-215, 1997.
DOI : 10.1126/science.275.5297.213

G. Bi and M. Poo, Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type, J Neurosci, vol.18, pp.10464-10472, 1998.

L. Zhang, H. Tao, C. Holt, W. Harris, and M. Poo, A critical window for cooperation and competition among developing retinotectal synapses, Nature, vol.395, pp.37-44, 1998.

D. Feldman, Timing-Based LTP and LTD at Vertical Inputs to Layer II/III Pyramidal Cells in Rat Barrel Cortex, Neuron, vol.27, issue.1, pp.45-56, 2000.
DOI : 10.1016/S0896-6273(00)00008-8

R. Vislay-meltzer, A. Kampff, and F. Engert, Spatiotemporal Specificity of Neuronal Activity Directs the Modification of Receptive Fields in the Developing Retinotectal System, Neuron, vol.50, issue.1, pp.101-114, 2006.
DOI : 10.1016/j.neuron.2006.02.016

Y. Mu and M. Poo, Spike Timing-Dependent LTP/LTD Mediates Visual Experience-Dependent Plasticity in a Developing Retinotectal System, Neuron, vol.50, issue.1, pp.115-125, 2006.
DOI : 10.1016/j.neuron.2006.03.009

S. Cassenaer and G. Laurent, Hebbian STDP in mushroom bodies facilitates the synchronous flow of olfactory information in locusts, Nature, vol.24, issue.7154, 2007.
DOI : 10.1038/nature05973

C. Meliza and Y. Dan, Receptive-Field Modification in Rat Visual Cortex Induced by Paired Visual Stimulation and Single-Cell Spiking, Neuron, vol.49, issue.2, pp.183-189, 2006.
DOI : 10.1016/j.neuron.2005.12.009

V. Jacob, D. Brasier, I. Erchova, D. Feldman, and D. Shulz, Spike Timing-Dependent Synaptic Depression in the In Vivo Barrel Cortex of the Rat, Journal of Neuroscience, vol.27, issue.6, pp.1271-1284, 2007.
DOI : 10.1523/JNEUROSCI.4264-06.2007

URL : https://hal.archives-ouvertes.fr/hal-00151876

G. Bi and M. Poo, : Hebb's Postulate Revisited, Annual Review of Neuroscience, vol.24, issue.1, pp.139-166, 2001.
DOI : 10.1146/annurev.neuro.24.1.139

J. Young, W. Waleszczyk, C. Wang, M. Calford, and B. Dreher, Cortical reorganization consistent with spike timing???but not correlation-dependent plasticity, Nature Neuroscience, vol.275, issue.7, pp.887-895, 2007.
DOI : 10.1038/nn1913

URL : http://ogma.newcastle.edu.au:8080/vital/access/manager/Repository/uon:7565/ATTACHMENT01

S. Song, K. Miller, and L. Abbott, Competitive hebbian learning through spike-timing-dependent synaptic plasticity, Nat Neurosci, vol.3, pp.919-926, 2000.

W. Gerstner and W. Kistler, Spiking neuron models, 2002.
DOI : 10.1017/cbo9780511815706

R. Guyonneau, R. Vanrullen, and S. Thorpe, Neurons Tune to the Earliest Spikes Through STDP, Neural Computation, vol.76, issue.4, pp.859-879, 2005.
DOI : 10.1038/25665

URL : https://hal.archives-ouvertes.fr/hal-00330516

T. Masquelier and S. Thorpe, Unsupervised Learning of Visual Features through Spike Timing Dependent Plasticity, PLoS Comput Biol, vol.3, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00135582

M. Mehta, M. Quirk, and M. Wilson, Experience-Dependent Asymmetric Shape of Hippocampal Receptive Fields, Neuron, vol.25, issue.3, pp.707-715, 2000.
DOI : 10.1016/S0896-6273(00)81072-7

W. Gerstner, R. Kempter, J. Van-hemmen, and H. Wagner, A neuronal learning rule for sub-millisecond temporal coding, Nature, vol.383, issue.6595, pp.76-81, 1996.
DOI : 10.1038/383076a0

J. Hopfield, Pattern recognition computation using action potential timing for stimulus representation, Nature, vol.376, issue.6535, pp.33-36, 1995.
DOI : 10.1038/376033a0

R. Vanrullen, R. Guyonneau, and S. Thorpe, Spike times make sense, Trends in Neurosciences, vol.28, issue.1, pp.1-4, 2005.
DOI : 10.1016/j.tins.2004.10.010

URL : https://hal.archives-ouvertes.fr/hal-00068894

P. Fries, D. Nikolic, and W. Singer, The gamma cycle, Trends in Neurosciences, vol.30, issue.7, pp.309-316, 2007.
DOI : 10.1016/j.tins.2007.05.005

M. Vanrossum, G. Bi, and G. Turrigiano, Stable Hebbian Learning from Spike Timing-Dependent Plasticity, The Journal of Neuroscience, vol.20, pp.8812-8821, 2000.

M. Berry and M. Meister, Refractoriness and neural precision, J Neurosci, vol.18, pp.2200-2211, 1998.

V. Uzzell and E. Chichilnisky, Precision of Spike Trains in Primate Retinal Ganglion Cells, Journal of Neurophysiology, vol.92, issue.2, pp.780-789, 2004.
DOI : 10.1152/jn.01171.2003

P. Reinagel and R. Reid, Temporal coding of visual information in the thalamus, J Neurosci, vol.20, pp.5392-5400, 2000.

R. Liu, S. Tzonev, S. Rebrik, and K. Miller, Variability and information in a neural code of the cat lateral geniculate nucleus, J Neurophysiol, vol.86, pp.2789-2806, 2001.

W. Bair and C. Koch, Temporal Precision of Spike Trains in Extrastriate Cortex of the Behaving Macaque Monkey, Neural Computation, vol.79, issue.6, pp.1185-1202, 1996.
DOI : 10.1007/BF00275002

G. Buracas, A. Zador, M. Deweese, and T. Albright, Efficient Discrimination of Temporal Patterns by Motion-Sensitive Neurons in Primate Visual Cortex, Neuron, vol.20, issue.5, pp.959-969, 1998.
DOI : 10.1016/S0896-6273(00)80477-8

R. Johansson and I. Birznieks, First spikes in ensembles of human tactile afferents code complex spatial fingertip events, Nature Neuroscience, vol.7, issue.2, pp.170-177, 2004.
DOI : 10.1038/nn1177

A. Boloori and G. Stanley, The Dynamics of Spatiotemporal Response Integration in the Somatosensory Cortex of the Vibrissa System, Journal of Neuroscience, vol.26, issue.14, pp.3767-3782, 2006.
DOI : 10.1523/JNEUROSCI.4056-05.2006

M. Wehr and A. Zador, Balanced inhibition underlies tuning and sharpens spike timing in auditory cortex, Nature, vol.426, issue.6965, pp.442-446, 2003.
DOI : 10.1038/nature02116

G. Innocenti and D. Price, Exuberance in the development of cortical networks, Nature Reviews Neuroscience, vol.52, issue.12, pp.955-965, 2005.
DOI : 10.1038/nrn1790

N. Uchida, A. Kepecs, and Z. Mainen, Seeing at a glance, smelling in a whiff: rapid forms of perceptual decision making, Nature Reviews Neuroscience, vol.41, issue.6, pp.485-491, 2006.
DOI : 10.1038/nrn1933

R. Vanrullen and S. Thorpe, Rate coding versus temporal order coding: what the retinal ganglion cells tell the visual cortex, Neural Comput, vol.13, pp.1255-1283, 2001.

R. Gutig and H. Sompolinsky, The tempotron: a neuron that learns spike timing???based decisions, Nature Neuroscience, vol.20, issue.3, pp.420-428, 2006.
DOI : 10.1038/nn1643

M. Abeles, Role of the cortical neuron: integrator or coincidence detector?, Isr J Med Sci, vol.18, pp.83-92, 1982.

P. Konig, A. Engel, and W. Singer, Integrator or coincidence detector? The role of the cortical neuron revisited, Trends in Neurosciences, vol.19, issue.4, pp.130-137, 1996.
DOI : 10.1016/S0166-2236(96)80019-1

R. Frostig, Z. Frostig, and R. Harper, Recurring discharge patterns in multiple spike trains, Biological Cybernetics, vol.49, issue.6, pp.487-493, 1990.
DOI : 10.1007/BF00205110

M. Abeles and I. Gat, Detecting precise firing sequences in experimental data, Journal of Neuroscience Methods, vol.107, issue.1-2, pp.141-154, 2001.
DOI : 10.1016/S0165-0270(01)00364-8

M. Abeles, Corticonics: neural circuits of the cerebral cortex. Cambridge, p.280, 1991.
DOI : 10.1017/CBO9780511574566

M. Abeles, NEUROSCIENCE: Enhanced: Time Is Precious, Science, vol.304, issue.5670, pp.523-524, 2004.
DOI : 10.1126/science.1097725

R. Stein, E. Gossen, and K. Jones, Neuronal variability: noise or part of the signal?, Nature Reviews Neuroscience, vol.17, issue.5, pp.389-397, 2005.
DOI : 10.1016/S0167-9457(02)00156-2

J. Movshon, Reliability of Neuronal Responses, Neuron, vol.27, issue.3, pp.412-414, 2000.
DOI : 10.1016/S0896-6273(00)00049-0

Z. Mainen and T. Sejnowski, Reliability of spike timing in neocortical neurons, Science, vol.268, issue.5216, pp.1503-1506, 1995.
DOI : 10.1126/science.7770778

H. Barlow, Single Units and Sensation: A Neuron Doctrine for Perceptual Psychology?, Perception, vol.1, issue.2, pp.371-394, 1972.
DOI : 10.1068/p010371

R. Guyonneau, R. Vanrullen, and S. Thorpe, Temporal codes and sparse representations: A key to understanding rapid processing in the visual system, Journal of Physiology-Paris, vol.98, issue.4-6, pp.487-497, 2004.
DOI : 10.1016/j.jphysparis.2005.09.004

W. Gerstner, Time structure of the activity in neural network models, Physical Review E, vol.51, issue.1, pp.738-758, 1995.
DOI : 10.1103/PhysRevE.51.738

J. Pfister and W. Gerstner, Triplets of Spikes in a Model of Spike Timing-Dependent Plasticity, Journal of Neuroscience, vol.26, issue.38, pp.9673-9682, 2006.
DOI : 10.1523/JNEUROSCI.1425-06.2006