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Brette R, Goodman DF (2011) Vectorized algorithms for spiking neural network simulation. Neural Comput 23:1503-35 [PubMed]

   Vectorized algorithms for spiking neural network simulation (Brette and Goodman 2011)

References and models cited by this paper

References and models that cite this paper

Bower JM, Beeman D (1998) The Book Of Genesis: Exploring Realistic Neural Models With The General Neural Simulation System

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]

   Networks of spiking neurons: a review of tools and strategies (Brette et al. 2007) [Model]
   Thalamocortical Relay cell under current clamp in high-conductance state (Zeldenrust et al 2018) [Model]

Cannon RC, Gewaltig MO, Gleeson P, Bhalla US, Cornelis H, Hines ML, Howell FW, Muller E, Stiles JR, Wils S, De Schutter E (2007) Interoperability of neuroscience modeling software: current status and future directions. Neuroinformatics 5:127-38 [Journal] [PubMed]

Carnevale NT, Hines ML (2006) The NEURON Book [Journal]

D'Haene M, Schrauwen B (2010) Fast and exact simulation methods applied on a broad range of neuron models. Neural Comput 22:1468-72 [Journal] [PubMed]

Davison AP, Brüderle D, Eppler J, Kremkow J, Muller E, Pecevski D, Perrinet L, Yger P (2008) PyNN: A Common Interface for Neuronal Network Simulators. Front Neuroinform 2:11 [Journal] [PubMed]

Deneve S (2008) Bayesian spiking neurons I: inference. Neural Comput 20:91-117 [Journal] [PubMed]

Destexhe A, Mainen Z, Sejnowski TJ (1994) An efficient method for computing synaptic conductances based on a kinetic model of receptor binding Neural Comput 6:14-18 [Journal]

   Efficient Method for Computing Synaptic Conductance (Destexhe et al 1994) [Model]
   Kinetic synaptic models applicable to building networks (Destexhe et al 1998) [Model]
   Application of a common kinetic formalism for synaptic models (Destexhe et al 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]

Djurfeldt M, Lansner A (2007) Workshop report: 1st INCF Workshop on Largescale Modeling of the Nervous System Nature Precedings (http:--dx.doi.org-10.1038-npre.2007.262.1)

Eppler JM, Helias M, Muller E, Diesmann M, Gewaltig MO (2008) PyNEST: A Convenient Interface to the NEST Simulator. Front Neuroinform 2:12 [Journal] [PubMed]

Garny A, Nickerson DP, Cooper J, Weber dos Santos R, Miller AK, McKeever S, Nielsen PM, Hunter PJ (2008) CellML and associated tools and techniques. Philos Trans A Math Phys Eng Sci 366:3017-43 [Journal] [PubMed]

Gerstner W, Kistler WM (2002) Spiking neuron models

Gewaltig M-O, Diesmann M (2007) NEST (Neural Simulation Tool) Scholarpedia 2:1430

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]

Giugliano M, Bove M, Grattarola M (1999) Fast calculation of short-term depressing synaptic conductances. Neural Comput 11:1413-26 [PubMed]

Goddard NH, Hucka M, Howell F, Cornelis H, Shankar K, Beeman D (2001) Towards NeuroML: model description methods for collaborative modelling in neuroscience. Philos Trans R Soc Lond B Biol Sci 356:1209-28 [Journal] [PubMed]

Goodman D, Brette R (2008) Brian: a simulator for spiking neural networks in python. Front Neuroinform 2:5 [Journal] [PubMed]

Goodman DF, Brette R (2009) The brian simulator. Front Neurosci 3:192-7 [Journal] [PubMed]

Hanuschkin A, Kunkel S, Helias M, Morrison A, Diesmann M (2010) A general and efficient method for incorporating precise spike times in globally time-driven simulations. Front Neuroinform 4:113 [Journal] [PubMed]

Hines M (1984) Efficient computation of branched nerve equations. Int J Biomed Comput 15:69-76 [PubMed]

Hines ML, Carnevale NT (2000) Expanding NEURON's repertoire of mechanisms with NMODL. Neural Comput 12:995-1007 [Journal] [PubMed]

Hines ML, Davison AP, Muller E (2009) NEURON and Python. Front Neuroinform 3:1 [Journal] [PubMed]

   NEURON + Python (Hines et al. 2009) [Model]

Hirsch MW, Smale S (1974) Differential Equations, Dynamical Systems and Linear Algebra

Izhikevich EM (2006) Polychronization: computation with spikes. Neural Comput 18:245-82 [Journal] [PubMed]

   Polychronization: Computation With Spikes (Izhikevich 2005) [Model]

Jahnke A, Roth U, Schnauer T (1999) Digital simulation of spiking neural networks Pulsed neural networks, Maass W:Bishop CM, ed. pp.237

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]

Loebel A, Tsodyks M (2002) Computation by ensemble synchronization in recurrent networks with synaptic depression. J Comput Neurosci 13:111-24 [PubMed]

Lytton WW (1996) Optimizing synaptic conductance calculation for network simulations. Neural Comput 8:501-9 [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]

Mongillo G, Barak O, Tsodyks M (2008) Synaptic theory of working memory. Science 319:1543-6 [Journal] [PubMed]

Morrison A, Aertsen A, Diesmann M (2007) Spike-timing-dependent plasticity in balanced random networks. Neural Comput 19:1437-67 [Journal] [PubMed]

Morrison A, Diesmann M, Gerstner W (2008) Phenomenological models of synaptic plasticity based on spike timing. Biol Cybern 98:459-78 [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]

Morse T (2007) Model sharing in computational neuroscience Scholarpedia 2:3036

Owens JD, Luebke D, Govindaraju N, Harris M, Kr_uger J, Et_al (2007) A survey of general-purpose computation on graphics hardware Computer Graphics Forum 26:80-113

Platkiewicz J, Brette R (2010) A threshold equation for action potential initiation. PLoS Comput Biol 6:e1000850 [Journal] [PubMed]

   A threshold equation for action potential initiation (Platkiewicz & Brette 2010) [Model]

Plesser HE, Diesmann M (2009) Simplicity and efficiency of integrate-and-fire neuron models. Neural Comput 21:353-9 [Journal] [PubMed]

Protopapas AD, Vanier M, Bower JM (1998) Simulating large networks of neurons. Methods in Neuronal Modeling (2nd ed)., Koch C:Segev I, ed. pp.461

Rossant C, Goodman DF, Platkiewicz J, Brette R (2010) Automatic fitting of spiking neuron models to electrophysiological recordings. Front Neuroinform 4:2 [Journal] [PubMed]

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]

Sanchez-montanez MA (2001) Strategies for the optimization of large scale networks of integrate and fire neurons

Schutter ED (2008) Why are computational neuroscience and systems biology so separate? Plos Comput Bio 4(5):1000078

Song S, Miller KD, Abbott LF (2000) Competitive Hebbian learning through spike-timing-dependent synaptic plasticity. Nat Neurosci 3:919-26 [Journal] [PubMed]

Tsodyks M, Pawelzik K, Markram H (1998) Neural networks with dynamic synapses. Neural Comput 10:821-35 [Journal] [PubMed]

   Synaptic plasticity: pyramid->pyr and pyr->interneuron (Tsodyks et al 1998) [Model]

Tsodyks MV, Markram H (1997) The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability. Proc Natl Acad Sci U S A 94:719-23 [PubMed]

Chavlis S, Petrantonakis PC, Poirazi P (2017) Dendrites of dentate gyrus granule cells contribute to pattern separation by controlling sparsity. Hippocampus 27:89-110 [Journal] [PubMed]

   Dentate Gyrus model including Granule cells with dendritic compartments (Chavlis et al 2017) [Model]

Danielson NB, Turi GF, Ladow M, Chavlis S, Petrantonakis PC, Poirazi P, Losonczy A (2017) In Vivo Imaging of Dentate Gyrus Mossy Cells in Behaving Mice. Neuron 93:552-559.e4 [Journal] [PubMed]

   In vivo imaging of dentate gyrus mossy cells in behaving mice (Danielson et al 2017) [Model]

Goodman DFM, Brette R (2013) Brian simulator Scholarpedia 8(1):10883 [Journal]

Magalhães BRC, Sterling T, Hines M, Schürmann F (2019) Asynchronous Branch-Parallel Simulation of Detailed Neuron Models. Front Neuroinform 13:54 [Journal] [PubMed]

   Fully-Asynchronous Cache-Efficient Simulation of Detailed Neural Networks (Magalhaes et al 2019) [Model]

Tomsett RJ, Ainsworth M, Thiele A, Sanayei M, Chen X, Gieselmann MA, Whittington MA, Cunningham MO, Kaiser M (2015) Virtual Electrode Recording Tool for EXtracellular potentials (VERTEX): comparing multi-electrode recordings from simulated and biological mammalian cortical tissue. Brain Struct Funct 220:2333-53 [Journal] [PubMed]

   Large-scale model of neocortical slice in vitro exhibiting persistent gamma (Tomsett et al. 2014) [Model]

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