Brette R. (2006). Exact simulation of integrate-and-fire models with synaptic conductances. Neural computation. 18 [PubMed]

See more from authors: Brette R

References and models cited by this paper

Abbott LF, Nelson SB. (2000). Synaptic plasticity: taming the beast. Nature neuroscience. 3 Suppl [PubMed]

Brette R, Guigon E. (2003). Reliability of spike timing is a general property of spiking model neurons. Neural computation. 15 [PubMed]

Brown R. (1988). Calendar queues: A fast 0(1) priority queue implementation for the simulation event set problem J Commun ACM. 31

Brunel N. (2000). Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons. Journal of computational neuroscience. 8 [PubMed]

Chad J, Claverol E, Brown A. (2002). Discrete simulation of large aggregates of neurons Neurocomputing. 47

Connolly C, Marian I, Reilly R. (2003). Approaches to efficient simulation with spiking neural networks Paper presented at the Eighth Neural Computation and Psychology Workshop.

Câteau H, Fukai T. (2003). A stochastic method to predict the consequence of arbitrary forms of spike-timing-dependent plasticity. Neural computation. 15 [PubMed]

Delorme A, Thorpe SJ. (2003). SpikeNET: an event-driven simulation package for modelling large networks of spiking neurons. Network (Bristol, England). 14 [PubMed]

Destexhe A, Rudolph M, Fellous JM, Sejnowski TJ. (2001). Fluctuating synaptic conductances recreate in vivo-like activity in neocortical neurons. Neuroscience. 107 [PubMed]

Fourcaud-Trocmé N, Hansel D, van Vreeswijk C, Brunel N. (2003). How spike generation mechanisms determine the neuronal response to fluctuating inputs. The Journal of neuroscience : the official journal of the Society for Neuroscience. 23 [PubMed]

Grassmann C, Anlauf J. (1998). Distributed, event driven simulation of spiking neural networks Proceedings of the International ICSC-IFAC Symposium on Neural Computation .

Hansel D, Mato G, Meunier C, Neltner L. (1998). On numerical simulations of integrate-and-fire neural networks. Neural computation. 10 [PubMed]

Kempter R, Gerstner W, van Hemmen JL. (2001). Intrinsic stabilization of output rates by spike-based Hebbian learning. Neural computation. 13 [PubMed]

Kim T, Ziegler B, Praehofer H. (2000). Theory of modeling and simulation Integrating discrete event and continuous complex dynamic systems (2nd ed).

Kistler WM, Gerstner W. (2002). Spiking neuron models.

Knight BW. (1972). Dynamics of encoding in a population of neurons. The Journal of general physiology. 59 [PubMed]

Kopell N, Ermentrout GB. (1986). Parabolic bursting in an excitable system coupled with a slow oscillation. Siam J Appl Math. 46

Lapicque L. (1907). Recherches quantitatives sur lexcitation electrique des nerfs traitee comme une polarisation J Physiol Pathol Gen. 9

Lee G, Farhat NH. (2001). The double queue method: a numerical method for integrate-and-fire neuron networks. Neural networks : the official journal of the International Neural Network Society. 14 [PubMed]

Liu YH, Wang XJ. (2001). Spike-frequency adaptation of a generalized leaky integrate-and-fire model neuron. Journal of computational neuroscience. 10 [PubMed]

Lytton WW. (1996). Optimizing synaptic conductance calculation for network simulations. Neural computation. 8 [PubMed]

Lytton WW, Hines ML. (2005). Independent variable time-step integration of individual neurons for network simulations. Neural computation. 17 [PubMed]

Mainen ZF, Sejnowski TJ. (1995). Reliability of spike timing in neocortical neurons. Science (New York, N.Y.). 268 [PubMed]

Makino T. (2003). A discrete-event neural network simulator for general neuron models Neural Comput App. 11

Marian I, Reilly R, Mackey D. (2002). Efficient event-driven simulation of spiking neural networks Proceedings of the 3rd WSEAS International Conference on Neural Networks and Applications.

Mattia M, Del Giudice P. (2000). Efficient event-driven simulation of large networks of spiking neurons and dynamical synapses. Neural computation. 12 [PubMed]

Morrison A, Mehring C, Geisel T, Aertsen AD, Diesmann M. (2005). Advancing the boundaries of high-connectivity network simulation with distributed computing. Neural computation. 17 [PubMed]

Olshausen BA, Field DJ. (2005). How close are we to understanding v1? Neural computation. 17 [PubMed]

Press WH, Teukolsky SA, Flannery BP, Vellerling WT. (1992). Numerical Recipes In C: The Art Of Scientific Computing.

Richardson MJ, Brunel N, Hakim V. (2003). From subthreshold to firing-rate resonance. Journal of neurophysiology. 89 [PubMed]

Rochel O, Martinez D. (2003). An event-driven framework for the simulation of networks of spiking neurons Proc. 11th European Symposium on Artificial Neural Networks .

Sejnowski TJ, Destexhe A, Mainen Z. (1994). An efficient method for computing synaptic conductances based on a kinetic model of receptor binding Neural Comput. 6

Shelley MJ, Tao L. (2001). Efficient and accurate time-stepping schemes for integrate-and-fire neuronal networks. Journal of computational neuroscience. 11 [PubMed]

Song S, Abbott LF. (2001). Cortical development and remapping through spike timing-dependent plasticity. Neuron. 32 [PubMed]

Song S, Miller KD, Abbott LF. (2000). Competitive Hebbian learning through spike-timing-dependent synaptic plasticity. Nature neuroscience. 3 [PubMed]

Stopfer M, Bhagavan S, Smith BH, Laurent G. (1997). Impaired odour discrimination on desynchronization of odour-encoding neural assemblies. Nature. 390 [PubMed]

References and models that cite this paper

Alturki A, Feng F, Nair A, Guntu V, Nair SS. (2016). Distinct current modules shape cellular dynamics in model neurons. Neuroscience. 334 [PubMed]

Gütig R, Sompolinsky H. (2009). Time-warp-invariant neuronal processing. PLoS biology. 7 [PubMed]

Morrison A, Straube S, Plesser HE, Diesmann M. (2007). Exact subthreshold integration with continuous spike times in discrete-time neural network simulations. Neural computation. 19 [PubMed]

Rangan AV, Cai D. (2007). Fast numerical methods for simulating large-scale integrate-and-fire neuronal networks. Journal of computational neuroscience. 22 [PubMed]

Sterratt DC, Graham B, Gillies A, Willshaw D. (2011). Principles of Computational Modelling in Neuroscience, Cambridge University Press.

Stewart RD, Bair W. (2009). Spiking neural network simulation: numerical integration with the Parker-Sochacki method. Journal of computational neuroscience. 27 [PubMed]

Tonnelier A, Belmabrouk H, Martinez D. (2007). Event-driven simulations of nonlinear integrate-and-fire neurons. Neural computation. 19 [PubMed]

van Elburg RA, van Ooyen A. (2009). Generalization of the event-based Carnevale-Hines integration scheme for integrate-and-fire models. Neural computation. 21 [PubMed]

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.