Citations for Networks of spiking neurons: a review of tools and strategies (Brette et al. 2007)

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Vogels TP, Abbott LF (2005) Signal propagation and logic gating in networks of integrate-and-fire neurons. J Neurosci 25:10786-95 [PubMed]

References and models cited by this paper

References and models that cite this paper

Abeles M (1991) Corticonics: Neural Circuits of the Cerebral Cortex.
Aertsen A, Diesmann M, Gewaltig MO (1996) Propagation of synchronous spiking activity in feedforward neural networks. J Physiol Paris 90:243-7 [PubMed]
Amit DJ, Brunel N (1997) Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex. Cereb Cortex 7:237-52 [PubMed]
Anderson JS, Lampl I, Gillespie DC, Ferster D (2000) The contribution of noise to contrast invariance of orientation tuning in cat visual cortex. Science 290:1968-72 [PubMed]
Aviel Y, Mehring C, Abeles M, Horn D (2003) On embedding synfire chains in a balanced network. Neural Comput 15:1321-40 [Journal] [PubMed]
Beggs JM, Plenz D (2003) Neuronal avalanches in neocortical circuits. J Neurosci 23:11167-77 [PubMed]
Brunel N (2000) Dynamics of networks of randomly connected excitatory and inhibitory spiking neurons. J Physiol Paris 94:445-63 [PubMed]
Burns BD, Webb AC (1976) The spontaneous activity of neurones in the cat's cerebral cortex. Proc R Soc Lond B Biol Sci 194:211-23 [Journal] [PubMed]
de Carvalho JX , Prado CP (2000) Self-organized criticality in the olami-feder-christensen model Phys Rev Lett 84:4006-9 [Journal] [PubMed]
Dean AF (1981) The variability of discharge of simple cells in the cat striate cortex. Exp Brain Res 44:437-40 [PubMed]
Harris TE (1963) The theory of branching processes
Hawken MJ, Shapley RM, Grosof DH (1996) Temporal-frequency selectivity in monkey visual cortex. Vis Neurosci 13:477-92 [PubMed]
Holt GR, Softky WR, Koch C, Douglas RJ (1996) Comparison of discharge variability in vitro and in vivo in cat visual cortex neurons. J Neurophysiol 75:1806-14 [Journal] [PubMed]
Kuhn A, Aertsen A, Rotter S (2004) Neuronal integration of synaptic input in the fluctuation-driven regime. J Neurosci 24:2345-56 [Journal] [PubMed]
Kumar A, Schrader S, Rotter S, Aertsen A (2005) Dynamics of random networks of spiking neurons with conductance-based synapses Abstr Comput Sys Neurosci
Lerchner A, Ahmadi M, Hertz J (2004) High-conductance states in a mean field cortical network model Neurocomputing 58:935-940
Litvak V, Sompolinsky H, Segev I, Abeles M (2003) On the transmission of rate code in long feedforward networks with excitatory-inhibitory balance. J Neurosci 23:3006-15 [PubMed]
Movshon JA, Thompson ID, Tolhurst DJ (1978) Spatial and temporal contrast sensitivity of neurones in areas 17 and 18 of the cat's visual cortex. J Physiol 283:101-20 [PubMed]
Orban GA, Hoffmann KP, Duysens J (1985) Velocity selectivity in the cat visual system. I. Responses of LGN cells to moving bar stimuli: a comparison with cortical areas 17 and 18. J Neurophysiol 54:1026-49 [Journal] [PubMed]
Reyes AD (2003) Synchrony-dependent propagation of firing rate in iteratively constructed networks in vitro. Nat Neurosci 6:593-9 [Journal] [PubMed]
Softky WR, Koch C (1993) The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs. J Neurosci 13:334-50 [PubMed]
Song S, Sjöström PJ, Reigl M, Nelson S, Chklovskii DB (2005) Highly nonrandom features of synaptic connectivity in local cortical circuits. PLoS Biol 3:e68 [Journal] [PubMed]
van Rossum MC, Turrigiano GG, Nelson SB (2002) Fast propagation of firing rates through layered networks of noisy neurons. J Neurosci 22:1956-66 [PubMed]
van Vreeswijk C, Sompolinsky H (1996) Chaos in neuronal networks with balanced excitatory and inhibitory activity. Science 274:1724-6 [PubMed]
van Vreeswijk C, Sompolinsky H (1998) Chaotic balanced state in a model of cortical circuits. Neural Comput 10:1321-71 [PubMed]
Vogels TP, Rajan K, Abbott LF (2005) Neural network dynamics. Annu Rev Neurosci 28:357-76 [Journal] [PubMed]
Zapperi S, Bækgaard Lauritsen K , Stanley HE (1995) Self-organized branching processes: Mean-field theory for avalanches. Phys Rev Lett 75:4071-4074 [Journal] [PubMed]
Dayhoff JE (2007) Computational properties of networks of synchronous groups of spiking neurons. Neural Comput 19:2433-67 [Journal] [PubMed]
Destexhe A (2009) Self-sustained asynchronous irregular states and Up-Down states in thalamic, cortical and thalamocortical networks of nonlinear integrate-and-fire neurons. J Comput Neurosci 27:493-506 [Journal] [PubMed]
   Asynchronous irregular and up/down states in excitatory and inhibitory NNs (Destexhe 2009) [Model]
Kerr CC, Van Albada SJ, Neymotin SA, Chadderdon GL, Robinson PA, Lytton WW (2013) Cortical information flow in Parkinson's disease: a composite network/field model. Front Comput Neurosci 7:39 [Journal] [PubMed]
   Composite spiking network/neural field model of Parkinsons (Kerr et al 2013) [Model]
Kumar A, Schrader S, Aertsen A, Rotter S (2008) The high-conductance state of cortical networks. Neural Comput 20:1-43 [Journal] [PubMed]
Litwin-Kumar A, Doiron B (2012) Slow dynamics and high variability in balanced cortical networks with clustered connections. Nat Neurosci 15:1498-505 [Journal] [PubMed]
   Excitatory and inhibitory population activity (Bittner et al 2017) (Litwin-Kumar & Doiron 2017) [Model]
Lytton WW, Orman R, Stewart M (2008) Broadening of activity with flow across neural structures. Perception 37:401-7 [Journal] [PubMed]
   Broadening of activity with flow across neural structures (Lytton et al. 2008) [Model]
Marre O, Yger P, Davison AP, Frégnac Y (2009) Reliable recall of spontaneous activity patterns in cortical networks. J Neurosci 29:14596-606 [Journal] [PubMed]
Masuda N, Kori H (2007) Formation of feedforward networks and frequency synchrony by spike-timing-dependent plasticity. J Comput Neurosci 22:327-45 [Journal] [PubMed]
Miller P, Wang XJ (2006) Stability of discrete memory states to stochastic fluctuations in neuronal systems. Chaos 16:026109 [Journal] [PubMed]
Muller L, Brette R, Gutkin B (2011) Spike-timing dependent plasticity and feed-forward input oscillations produce precise and invariant spike phase-locking. Front Comput Neurosci 5:45 [Journal] [PubMed]
   STDP and oscillations produce phase-locking (Muller et al. 2011) [Model]
Potjans TC, Diesmann M (2014) The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model. Cereb Cortex 24:785-806 [Journal] [PubMed]
   A full-scale cortical microcircuit spiking network model (Shimoura et al 2018) [Model]
Richert M, Nageswaran JM, Dutt N, Krichmar JL (2011) An efficient simulation environment for modeling large-scale cortical processing. Front Neuroinform 5:19 [Journal] [PubMed]
   Efficient simulation environment for modeling large-scale cortical processing (Richert et al. 2011) [Model]
Shimoura RO, Kamiji NL, Pena RFO, Cordeiro VL, Ceballos CC, Cecilia R, Roque AC (2018) [Re] The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model The ReScience Journal [Journal]
   A full-scale cortical microcircuit spiking network model (Shimoura et al 2018) [Model]
Stewart RD, Bair W (2009) Spiking neural network simulation: numerical integration with the Parker-Sochacki method. J Comput Neurosci 27:115-33 [Journal] [PubMed]
   Numerical Integration of Izhikevich and HH model neurons (Stewart and Bair 2009) [Model]
Sussillo D, Toyoizumi T, Maass W (2007) Self-tuning of neural circuits through short-term synaptic plasticity. J Neurophysiol 97:4079-95 [Journal] [PubMed]
Tomm C, Avermann M, Petersen C, Gerstner W, Vogels TP (2014) Connection-type-specific biases make uniform random network models consistent with cortical recordings. J Neurophysiol 112:1801-14 [Journal] [PubMed]
Vogels TP, Sprekeler H, Zenke F, Clopath C, Gerstner W (2011) Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks. Science 334:1569-73 [Journal] [PubMed]
   Inhibitory plasticity balances excitation and inhibition (Vogels et al. 2011) [Model]
Zerlaut Y, Chemla S, Chavane F, Destexhe A (2018) Modeling mesoscopic cortical dynamics using a mean-field model of conductance-based networks of adaptive exponential integrate-and-fire neurons. J Comput Neurosci 44:45-61 [Journal] [PubMed]
   Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al., JCNS 2017) [Model]
(52 refs)

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 [PubMed]

References and models cited by this paper

References and models that cite this paper

Abbott LF, Nelson SB (2000) Synaptic plasticity: taming the beast. Nat Neurosci 3 Suppl:1178-83 [Journal] [PubMed]
Arnold L (1974) Stochastic Differential Equations: Theory And Applications
Bhalla US, Iyengar R (1999) Emergent properties of networks of biological signaling pathways. Science 283:381-7 [PubMed]
   Emergent properties of networks of biological signaling pathways (Bhalla, Iyengar 1999) [Model]
Brette R, Gerstner W (2005) Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. J Neurophysiol 94:3637-42 [Journal] [PubMed]
   Adaptive exponential integrate-and-fire model (Brette & Gerstner 2005) [Model]
Brown R (1988) Calendar queues: A fast 0(1) priority queue implementation for the simulation event set problem J Commun ACM 31:1220-1227
Carriero N, Gelernter D (1989) Linda in context Communications of the ACM, April 1989
Claverol E, Brown A, Chad J (2002) Discrete simulation of large aggregates of neurons Neurocomputing 47:277-297
De Schutter E, Bower JM (1994) An active membrane model of the cerebellar Purkinje cell. I. Simulation of current clamps in slice. J Neurophysiol 71:375-400 [Journal] [PubMed]
   Cerebellar purkinje cell (De Schutter and Bower 1994) [Model]
Destexhe A, Mainen ZF, Sejnowski TJ (1994) Synthesis of models for excitable membranes, synaptic transmission and neuromodulation using a common kinetic formalism. J Comput Neurosci 1:195-230 [PubMed]
   Application of a common kinetic formalism for synaptic models (Destexhe et al 1994) [Model]
   Kinetic synaptic models applicable to building networks (Destexhe et al 1998) [Model]
Destexhe A, Sejnowski TJ (2001) Thalamocortical Assemblies-How Ion Channels, Single Neurons and large-Scale Networks Organize Sleep
   Pyramidal Neuron: Deep, Thalamic Relay and Reticular, Interneuron (Destexhe et al 1998, 2001) [Model]
Diesmann M, Gewaltig MO (2002) NEST: An environment for neural systemssimulations Forschung und wisschenschaftliches Rechnen, Plesser T:Macho V, ed. pp.43
Djurfeldt M, Johansson C, Ekeberg O, Rehn M, Lundqvist M, Lansner A (2005) Massively parallel simulationof brain-scale neuronal network models Technical Report TRITA-NA-P0513, School of Computer Science and Communication, Stockholm
Drewes R (2005) Modeling the brain with NCS and Brainlab LINUX Journal online (http:--www.linuxjournal.com-article-8038)
Drewes R, Maciokas JB, Louis SJ, Goodman PH (2004) An evolutionary autonomous agent with visual cortex and recurrent spiking columnar neural network Lecture Notes In Computer Science 3102:257-258
Ermentrout GB (2002) Simulating, Analyzing, and Animating Dynamical System: A Guide to XPPAUT for Researchers and Students Society for Industrial and Applied Mathematics (SIAM)
Ermentrout GB, Kopell N (1986) Parabolic bursting in an excitable system coupled with a slow oscillation. Siam J Appl Math 46:233-253
Gerstner W, Kistler WM (2002) Mathematical formulations of Hebbian learning. Biol Cybern 87:404-15 [Journal] [PubMed]
Giugliano M (2000) Synthesis of generalized algorithms for the fast computation of synaptic conductances with Markov kinetic models in large network simulations. Neural Comput 12:903-31 [PubMed]
Gupta A, Wang Y, Markram H (2000) Organizing principles for a diversity of GABAergic interneurons and synapses in the neocortex. Science 287:273-8 [PubMed]
Gütig R, Aharonov R, Rotter S, Sompolinsky H (2003) Learning input correlations through nonlinear temporally asymmetric Hebbian plasticity. J Neurosci 23:3697-714 [PubMed]
Gütig R, Sompolinsky H (2006) The tempotron: a neuron that learns spike timing-based decisions. Nat Neurosci 9:420-8 [Journal] [PubMed]
Hammarlund P, Ekeberg O (1998) Large neural network simulations on multiple hardware platforms. J Comput Neurosci 5:443-59 [PubMed]
Hansel D, Mato G, Meunier C, Neltner L (1998) On numerical simulations of integrate-and-fire neural networks. Neural Comput 10:467-83 [PubMed]
Hines ML, Carnevale NT (1997) The NEURON simulation environment. Neural Comput 9:1179-209 [PubMed]
Houweling AR, Bazhenov M, Timofeev I, Steriade M, Sejnowski TJ (2005) Homeostatic synaptic plasticity can explain post-traumatic epileptogenesis in chronically isolated neocortex. Cereb Cortex 15:834-45 [Journal] [PubMed]
Kanold PO, Manis PB (2005) Encoding the timing of inhibitory inputs. J Neurophysiol 93:2887-97 [Journal] [PubMed]
Köhn J, Wörgötter F (1998) Employing the zeta-transform to optimize the calculation of the synaptic conductance of NMDA and other synaptic channels in network simulations. Neural Comput 10:1639-51 [PubMed]
Lee G, Farhat NH (2001) The double queue method: a numerical method for integrate-and-fire neuron networks. Neural Netw 14:921-32 [PubMed]
Lytton WW (1996) Optimizing synaptic conductance calculation for network simulations. Neural Comput 8:501-9 [PubMed]
Lytton WW, Hines ML (2005) Independent variable time-step integration of individual neurons for network simulations. Neural Comput 17:903-21 [Journal] [PubMed]
   Local variable time step method (Lytton, Hines 2005) [Model]
Markram H, Lübke J, Frotscher M, Roth A, Sakmann B (1997) Physiology and anatomy of synaptic connections between thick tufted pyramidal neurones in the developing rat neocortex. J Physiol 500 ( Pt 2):409-40 [PubMed]
Markram H, Lübke J, Frotscher M, Sakmann B (1997) Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs. Science 275:213-5 [PubMed]
Markram H, Pikus D, Gupta A, Tsodyks M (1998) Potential for multiple mechanisms, phenomena and algorithms for synaptic plasticity at single synapses. Neuropharmacology 37:489-500 [PubMed]
Markram H, Wang Y, Tsodyks M (1998) Differential signaling via the same axon of neocortical pyramidal neurons. Proc Natl Acad Sci U S A 95:5323-8 [PubMed]
Mattia M, Del Giudice P (2000) Efficient event-driven simulation of large networks of spiking neurons and dynamical synapses. Neural Comput 12:2305-29 [PubMed]
Moffitt MA, McIntyre CC (2005) Model-based analysis of cortical recording with silicon microelectrodes. Clin Neurophysiol 116:2240-50 [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]
Nenadic Z, Ghosh BK, Ulinski P (2003) Propagating waves in visual cortex: a large-scale model of turtle visual cortex. J Comput Neurosci 14:161-84 [PubMed]
   Turtle visual cortex model (Nenadic et al. 2003, Wang et al. 2005, Wang et al. 2006) [Model]
Prescott SA, De Koninck Y (2005) Integration time in a subset of spinal lamina I neurons is lengthened by sodium and calcium currents acting synergistically to prolong subthreshold depolarization. J Neurosci 25:4743-54 [Journal] [PubMed]
   Tonic neuron in spinal lamina I: prolongation of subthreshold depol. (Prescott and De Koninck 2005) [Model]
Reutimann J, Giugliano M, Fusi S (2003) Event-driven simulation of spiking neurons with stochastic dynamics. Neural Comput 15:811-30 [Journal] [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 :295-300
Rotter S, Diesmann M (1999) Exact digital simulation of time-invariant linear systems with applications to neuronal modeling. Biol Cybern 81:381-402 [Journal] [PubMed]
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]
Saghatelyan A, Roux P, Migliore M, Rochefort C, Desmaisons D, Charneau P, Shepherd GM, Lledo PM (2005) Activity-dependent adjustments of the inhibitory network in the olfactory bulb following early postnatal deprivation. Neuron 46:103-16 [Journal] [PubMed]
   Olfactory bulb granule cell: effects of odor deprivation (Saghatelyan et al 2005) [Model]
Shelley MJ, Tao L (2001) Efficient and accurate time-stepping schemes for integrate-and-fire neuronal networks. J Comput Neurosci 11:111-9 [PubMed]
Sleator D, Tarjan R (1983) Self adjusting binary trees Proc ACM SIGACT Symposium on Theory of Computing :235-245
Song S, Miller KD, Abbott LF (2000) Competitive Hebbian learning through spike-timing-dependent synaptic plasticity. Nat Neurosci 3:919-26 [Journal] [PubMed]
Vitko I, Chen Y, Arias JM, Shen Y, Wu XR, Perez-Reyes E (2005) Functional characterization and neuronal modeling of the effects of childhood absence epilepsy variants of CACNA1H, a T-type calcium channel. J Neurosci 25:4844-55 [Journal] [PubMed]
   T channel currents (Vitko et al 2005) [Model]
Wang Y, Markram H, Goodman PH, Berger TK, Ma J, Goldman-Rakic PS (2006) Heterogeneity in the pyramidal network of the medial prefrontal cortex. Nat Neurosci 9:534-42 [Journal] [PubMed]
Watts L (1994) Event-driven simulation of networks of spiking neurons Advances in Neural Information Processing Systems, Cowan J:Tesauro G:Alspector J, ed. pp.927
Wiebers JL, Goodman PH, Markram H (2000) Blockade of A-type potassium channels recovers memory impairment caused by synaptic loss: Implications for Alzheimers dementia J Investig Med 48:283S
Wilson MA, Bower JM (1989) The simulation of large-scale neuronal networks Methods In Neuronal Modeling: From Synapses To Networks, Koch C:Segev I, ed. pp.291
Wolf JA, Moyer JT, Lazarewicz MT, Contreras D, Benoit-Marand M, O'Donnell P, Finkel LH (2005) NMDA/AMPA ratio impacts state transitions and entrainment to oscillations in a computational model of the nucleus accumbens medium spiny projection neuron. J Neurosci 25:9080-95 [Journal] [PubMed]
   Afferent Integration in the NAcb MSP Cell (Wolf et al. 2005) [Model]
Zeigler B, Praehofer H, Kim T (2000) Theory of Modeling and Simulation Integrating Discrete Event and Continuous Complex Dynamic Systems (2nd ed)
Zeigler BP, Vahie S (1993) DEVS formalism and methodology: unity of conception-diversity of application Proceedings of the 1993 Winter Simulation Conference :573-579
Aisa B, Mingus B, O'Reilly R (2008) The emergent neural modeling system. Neural Netw 21:1146-52 [Journal] [PubMed]
Bédard C, Destexhe A (2008) A modified cable formalism for modeling neuronal membranes at high frequencies. Biophys J 94:1133-43 [Journal] [PubMed]
Brette R, Goodman DF (2011) Vectorized algorithms for spiking neural network simulation. Neural Comput 23:1503-35 [Journal] [PubMed]
   Vectorized algorithms for spiking neural network simulation (Brette and Goodman 2011) [Model]
Carnevale NT, Morse TM (1996-2009) Research reports that have used NEURON Web published citations at the NEURON website [Journal]
Gleeson P, Crook S, Cannon RC, Hines ML, Billings GO, Farinella M, Morse TM, Davison AP, Ray S, Bhalla US, Barnes SR, Dimitrova YD, Silver RA (2010) NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail. PLoS Comput Biol 6:e1000815 [Journal] [PubMed]
Huang CW, Cheng JT, Tsai JJ, Wu SN, Huang CC (2009) Diabetic hyperglycemia aggravates seizures and status epilepticus-induced hippocampal damage. Neurotox Res 15:71-81 [Journal] [PubMed]
   Contribution of ATP-sensitive potassium channels in the neuronal network (Huang et al. 2009) [Model]
Huang CW, Huang CC, Lin MW, Tsai JJ, Wu SN (2008) The synergistic inhibitory actions of oxcarbazepine on voltage-gated sodium and potassium currents in differentiated NG108-15 neuronal cells and model neurons. Int J Neuropsychopharmacol 11:597-610 [Journal] [PubMed]
   Synergistic inhibitory action of oxcarbazepine on INa and IK (Huang et al. 2008) [Model]
Huang CW, Tsai JJ, Huang CC, Wu SN (2009) Experimental and simulation studies on the mechanisms of levetiracetam-mediated inhibition of delayed-rectifier potassium current (KV3.1): contribution to the firing of action potentials. J Physiol Pharmacol 60:37-47 [Journal] [PubMed]
   Simulation studies on mechanisms of levetiracetam-mediated inhibition of IK(DR) (Huang et al. 2009) [Model]
Khalil R, Moftah MZ, Moustafa AA (2017) The effects of dynamical synapses on firing rate activity: a spiking neural network model. Eur J Neurosci 46:2445-2470 [Journal] [PubMed]
Kozloski J, Wagner J (2011) An Ultrascalable Solution to Large-scale Neural Tissue Simulation. Front Neuroinform 5:15 [Journal] [PubMed]
Lytton WW, Seidenstein AH, Dura-Bernal S, McDougal RA, Schürmann F, Hines ML (2016) Simulation Neurotechnologies for Advancing Brain Research: Parallelizing Large Networks in NEURON. Neural Comput 28:2063-90 [Journal] [PubMed]
   Parallelizing large networks in NEURON (Lytton et al. 2016) [Model]
McDougal RA, Bulanova AS, Lytton WW (2016) Reproducibility in Computational Neuroscience Models and Simulations. IEEE Trans Biomed Eng 63:2021-35 [Journal] [PubMed]
Podlaski WF, Seeholzer A, Groschner LN, Miesenböck G, Ranjan R, Vogels TP (2017) Mapping the function of neuronal ion channels in model and experiment. Elife [Journal] [PubMed]
Richert M, Nageswaran JM, Dutt N, Krichmar JL (2011) An efficient simulation environment for modeling large-scale cortical processing. Front Neuroinform 5:19 [Journal] [PubMed]
   Efficient simulation environment for modeling large-scale cortical processing (Richert et al. 2011) [Model]
Sterratt D, Graham B, Gillies A, Willshaw D (2011) Principles of Computational Modelling in Neuroscience, Cambridge University Press :1-401 [Journal]
   Principles of Computational Modelling in Neuroscience (Book) (Sterratt et al. 2011) [Model]
Stewart RD, Bair W (2009) Spiking neural network simulation: numerical integration with the Parker-Sochacki method. J Comput Neurosci 27:115-33 [Journal] [PubMed]
   Numerical Integration of Izhikevich and HH model neurons (Stewart and Bair 2009) [Model]
Swietlik D, Bialowas J, Kusiak A, Cichonska D (2018) Memory and forgetting processes with the firing neuron model. Folia Morphol (Warsz) 77:221-233 [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]
   Generalized Carnevale-Hines algorithm (van Elburg and van Ooyen 2009) [Model]
(83 refs)