Synaptic plasticity in a cerebellum-like structure depends on temporal order, Nature, vol.387, issue.6630, pp.278-281, 1997. ,
DOI : 10.1038/387278a0
Synaptic modifications in cultured hippocampal neurons: Dependence on spike timing, synaptic strength, and postsynaptic cell type, J. Neurosci, vol.18, issue.24, pp.10464-10472, 1998. ,
SpikeProp: backpropagation for networks of spiking neurons, pp.419-424, 2000. ,
The chronotron: a neuron that learns to fire temporally-precise spike patterns. http://precedings.nature.com/documents, 2010. ,
DOI : 10.1371/journal.pone.0040233
URL : http://doi.org/10.1371/journal.pone.0040233
Spiking Neuron Models: Single Neurons, Populations, Plasticity, 2002. ,
DOI : 10.1017/CBO9780511815706
NEST (NEural Simulation Tool), Scholarpedia, vol.2, issue.4, p.1430, 2007. ,
DOI : 10.4249/scholarpedia.1430
URL : http://doi.org/10.4249/scholarpedia.1430
The tempotron: a neuron that learns spike timing???based decisions, Nature Neuroscience, vol.20, issue.3, pp.420-428, 2006. ,
DOI : 10.1515/REVNEURO.2003.14.3.207
Comparison of supervised learning methods for spike time coding in spiking neural networks, Int. J.of Applied Mathematics and Computer Science, vol.16, pp.101-113, 2006. ,
Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations, Neural Computation, vol.7, issue.11, pp.2531-2560, 2002. ,
DOI : 10.1038/35009102
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.277
Towards Reproducible Descriptions of Neuronal Network Models, PLoS Computational Biology, vol.367, issue.8, p.1000456, 2009. ,
DOI : 10.1371/journal.pcbi.1000456.s003
ReSuMe ? new supervised learning method for spiking neural networks, 2005. ,
Analysis of the ReSuMe Learning Process For Spiking Neural Networks, International Journal of Applied Mathematics and Computer Science, vol.4, issue.6, pp.117-127, 2008. ,
DOI : 10.1017/CBO9780511815706
Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting, Neural Computation, vol.4, issue.2, pp.467-510, 2010. ,
DOI : 10.1016/S1364-6613(98)01221-2
A Novel Spike Distance, Neural Computation, vol.76, issue.4, pp.751-763, 2001. ,
DOI : 10.1088/0954-898X/8/2/003
Metric-space analysis of spike trains: theory, algorithms and application, Network: Computation in Neural Systems, vol.8, issue.2, pp.127-164, 1997. ,
DOI : 10.1088/0954-898X_8_2_003