Inhibitory control of spike timing precision, Neurocomputing, vol.70, issue.1-3, pp.200-205, 2006. ,
DOI : 10.1016/j.neucom.2006.03.010
URL : https://hal.archives-ouvertes.fr/inria-00401772
Submillisecond precision of the input-output transformation function mediated by fast sodium dendritic spikes in basal dendrites of ca1 pyramidal neurons, J. Neurosci, vol.23, pp.7750-7758, 2003. ,
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
Hinging hyperplanes for regression, classification, and function approximation, IEEE Transactions on Information Theory, vol.39, issue.3, pp.999-1013, 1993. ,
DOI : 10.1109/18.256506
Exact Simulation of Integrate-and-Fire Models with Synaptic Conductances, Neural Computation, vol.9, issue.37, pp.2004-2027, 2006. ,
DOI : 10.1038/36335
Exact Simulation of Integrate-and-Fire Models with Exponential Currents, Neural Computation, vol.19, issue.10, pp.2604-2609, 2007. ,
DOI : 10.1523/JNEUROSCI.3508-05.2005
Adaptive Exponential Integrate-and-Fire Model as an Effective Description of Neuronal Activity, Journal of Neurophysiology, vol.94, issue.5, pp.3637-3642, 2005. ,
DOI : 10.1152/jn.00686.2005
Simulation of networks of spiking neurons: A review of tools and strategies, Journal of Computational Neuroscience, vol.25, issue.54, pp.349-398, 2007. ,
DOI : 10.1007/s10827-007-0038-6
URL : https://hal.archives-ouvertes.fr/hal-00180662
Firing Rate of the Noisy Quadratic Integrate-and-Fire Neuron, Neural Computation, vol.13, issue.10, pp.2281-2306, 2003. ,
DOI : 10.1088/0954-898X/4/3/002
Hybrid computation, 2001. ,
Binary spiking in auditory cortex, J. Neurosci, vol.23, pp.7940-7949, 2003. ,
Type I Membranes, Phase Resetting Curves, and Synchrony, Neural Computation, vol.4, issue.5, pp.979-1001, 1996. ,
DOI : 10.1016/0022-5193(67)90051-3
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.45.885
Parabolic Bursting in an Excitable System Coupled with a Slow Oscillation, SIAM Journal on Applied Mathematics, vol.46, issue.2, pp.233-253, 1986. ,
DOI : 10.1137/0146017
Sparse coding in the primate cortex. The handbook of brain theory and neural networks, pp.895-898, 1995. ,
How spike generation mechanisms determine the neuronal response to fluctuating inputs, J. Neurosci, vol.23, pp.11628-11640, 2003. ,
Approximate solutions of odes using piecewise linear vector fields, 5th International Workshop on Computer Algebra in Scientific Computing, 2002. ,
URL : https://hal.archives-ouvertes.fr/hal-00307056
Existence and Stability of Persistent States in Large Neuronal Networks, Physical Review Letters, vol.86, issue.18, pp.4175-4178, 2001. ,
DOI : 10.1103/PhysRevLett.86.4175
On Numerical Simulations of Integrate-and-Fire Neural Networks, Neural Computation, vol.9, issue.2, p.467, 1998. ,
DOI : 10.1007/BF00961879
Differential equations: A dynamical systems approach, Texts in Applied Mathematics, vol.5, 1991. ,
DOI : 10.1007/978-3-662-41803-1
Simple model of spiking neurons, IEEE Transactions on Neural Networks, vol.14, issue.6, pp.1569-1572, 2003. ,
DOI : 10.1109/TNN.2003.820440
Reliability of spike timing in neocortical neurons, Science, vol.268, issue.5216, 1995. ,
DOI : 10.1126/science.7770778
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
Oscillatory Synchronization Requires Precise and Balanced Feedback Inhibition in a Model of the Insect Antennal Lobe, Neural Computation, vol.16, issue.12, pp.2548-2570, 2005. ,
DOI : 10.1016/S0167-8760(00)00173-2
URL : https://hal.archives-ouvertes.fr/inria-00000646
Efficient Event-Driven Simulation of Large Networks of Spiking Neurons and Dynamical Synapses, Neural Comp. 12, 2305, 2000. ,
DOI : 10.1038/1131
Nagumo's equation, Advances in Mathematics, vol.4, issue.3, pp.209-223, 1970. ,
DOI : 10.1016/0001-8708(70)90023-X
Exact Subthreshold Integration with Continuous Spike Times in Discrete-Time Neural Network Simulations, Neural Computation, vol.1, issue.1, pp.44-79, 2007. ,
DOI : 10.1023/A:1012885314187
Oscillations and Sparsening of Odor Representations in the Mushroom Body, Science, vol.297, issue.5580, pp.359-365, 2002. ,
DOI : 10.1126/science.1070502
Fast numerical methods for simulating large-scale integrate-and-fire neuronal networks, Journal of Computational Neuroscience, vol.22, issue.1, pp.81-100, 2007. ,
DOI : 10.1007/s10827-006-8526-7
Effects of synaptic conductance on the voltage distribution and firing rate of spiking neurons, Physical Review E, vol.69, issue.5, 2004. ,
DOI : 10.1103/PhysRevE.69.051918
Analysis of sneural excitability, Neuronal Modeling: From ions to networks, pp.251-291, 1998. ,
An event-driven framework for the simulation of networks of spiking neurons, Proc. 11th European Symposium on Artificial Neural Networks, 2003. ,
URL : https://hal.archives-ouvertes.fr/inria-00099501
Event-Driven Simulation Scheme for Spiking Neural Networks Using Lookup Tables to Characterize Neuronal Dynamics, Neural Computation, vol.76, issue.11, pp.2959-2993, 2006. ,
DOI : 10.1088/0954-898X/8/2/003
URL : https://hal.archives-ouvertes.fr/hal-00140014
Analytical Integrate-and-Fire Neuron Models with Conductance-Based Dynamics for Event-Driven Simulation Strategies, Neural Computation, vol.18, issue.9, p.2305, 2006. ,
DOI : 10.1103/PhysRevLett.71.1280
URL : https://hal.archives-ouvertes.fr/hal-00120630
Efficient and accurate time-stepping schemes for integrateand-fire neuronal networks, Journal of Computational Neuroscience, vol.11, issue.2, pp.111-119, 2001. ,
DOI : 10.1023/A:1012885314187
Piecewise linear differential equations and integrate-andfire neurons: insights from two-dimensional membrane models, Phys. Rev. E, 2003. ,
DOI : 10.1103/physreve.67.021908
URL : http://infoscience.epfl.ch/record/97810
Event-Driven Simulations of Nonlinear Integrate-and-Fire Neurons, Neural Computation, vol.83, issue.12, pp.3226-3238, 2007. ,
DOI : 10.1016/j.tins.2004.10.010
URL : https://hal.archives-ouvertes.fr/inria-00103500
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
Gamma oscillation by synaptic inhibition in a hippocampal interneuronal network model, J. Neurosci, vol.16, pp.6402-6413, 1996. ,