References and models cited by this paper | References and models that cite this paper | |||||
Brette R (2006) Exact simulation of integrate-and-fire models with synaptic conductances. Neural Comput 18:2004-27 [Journal] [PubMed] Brette R, Rudolph M, Carnevale T, Hines M, Beeman D, Bower JM, Diesmann M, Morrison A, Goodman PH, Harris FC, Zirpe M, Natschläger T, Pecevski D, Ermentrout B, Djurfeldt M, Lansner A, Rochel O, Vieville T, Muller E, Davison AP, El Boustani S, Destexhe A (2007) Simulation of networks of spiking neurons: a review of tools and strategies. J Comput Neurosci 23:349-98 [Journal] [PubMed] Brunel N, Wang XJ (2001) Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition. J Comput Neurosci 11:63-85 [PubMed] Hansel D, Mato G (2003) Asynchronous states and the emergence of synchrony in large networks of interacting excitatory and inhibitory neurons. Neural Comput 15:1-56 [Journal] [PubMed] Humphries MD, Gurney K (2007) Solution methods for a new class of simple model neurons. Neural Comput 19:3216-25 [Journal] [PubMed] Kumar A, Schrader S, Aertsen A, Rotter S (2008) The high-conductance state of cortical networks. Neural Comput 20:1-43 [Journal] [PubMed] Lim S, Goldman MS (2014) Balanced cortical microcircuitry for spatial working memory based on corrective feedback control. J Neurosci 34:6790-806 [Journal] [PubMed] Liu YH, Wang XJ (2001) Spike-frequency adaptation of a generalized leaky integrate-and-fire model neuron. J Comput Neurosci 10:25-45 [PubMed] Ly C, Tranchina D (2007) Critical analysis of dimension reduction by a moment closure method in a population density approach to neural network modeling. Neural Comput 19:2032-92 [Journal] [PubMed] Morrison A, Mehring C, Geisel T, Aertsen AD, Diesmann M (2005) Advancing the boundaries of high-connectivity network simulation with distributed computing. Neural Comput 17:1776-801 [Journal] [PubMed] Morrison A, Straube S, Plesser HE, Diesmann M (2007) Exact subthreshold integration with continuous spike times in discrete-time neural network simulations. Neural Comput 19:47-79 [Journal] [PubMed] Rangan AV, Cai D (2007) Fast numerical methods for simulating large-scale integrate-and-fire neuronal networks. J Comput Neurosci 22:81-100 [Journal] [PubMed] Rudolph M, Destexhe A (2006) Event-based simulation strategy for conductance-based synaptic interactions and plasticity Neurocomputing 69:1130-1133 Rudolph M, Destexhe A (2006) Analytical integrate-and-fire neuron models with conductance-based dynamics for event-driven simulation strategies. Neural Comput 18:2146-210 [Journal] [PubMed] Shelley MJ, Tao L (2001) Efficient and accurate time-stepping schemes for integrate-and-fire neuronal networks. J Comput Neurosci 11:111-9 [PubMed] Song P, Wang XJ (2005) Angular path integration by moving "hill of activity": a spiking neuron model without recurrent excitation of the head-direction system. J Neurosci 25:1002-14 [Journal] [PubMed] Sterratt D, Graham B, Gillies A, Willshaw D (2011) Principles of Computational Modelling in Neuroscience, Cambridge University Press :1-401 [Journal]
Tonnelier A, Belmabrouk H, Martinez D (2007) Event-driven simulations of nonlinear integrate-and-fire neurons. Neural Comput 19:3226-38 [Journal] [PubMed] van Elburg RA, van Ooyen A (2009) Generalization of the event-based Carnevale-Hines integration scheme for integrate-and-fire models. Neural Comput 21:1913-30 [Journal] [PubMed]
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