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:117883 [PubMed] Abeles M (1982) Local Cortical Circuits: An Electrophysiological Study Abeles M (1991) Corticonics: Neural Circuits of the Cerebral Cortex. Aertsen AM, Gerstein GL, Habib MK, Palm G (1989) Dynamics of neuronal firing correlation: modulation of fieffective connectivityfi. J Neurophysiol 61:90017 [Journal] [PubMed] Aho AV, Hopcroft JE, Ullman JD (1983) Data structures and algorithms Aviel Y, Mehring C, Abeles M, Horn D (2003) On embedding synfire chains in a balanced network. Neural Comput 15:132140 [PubMed] Bernard C, Ge YC, Stockley E, Willis JB, Wheal HV (1994) Synaptic integration of NMDA and nonNMDA receptors in large neuronal network models solved by means of differential equations. Biol Cybern 70:26773 Bi G, Poo M (2001) Synaptic modification by correlated activity: Hebb's postulate revisited. Annu Rev Neurosci 24:13966 [PubMed] Bi GQ, Poo MM (1998) Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type. J Neurosci 18:1046472 [PubMed] Bower JM, Beeman D (1995) The Book of GENESIS: Exploring Realistic Neural Models with the GEneral NEural SImulation System. [Journal] Braitenberg V (1978) Cell assemblies in the cerebral cortex. Theoretical Approaches To Complex Systems, Heim R:Palm G, ed. Braitenberg V, Schuz A (1998) Cortex Statistics and Geometry of Neuronal Connectivity 2nd ed Butenhof DR (1997) Programming with POSIX threads Chance FS, Abbott LF, Reyes AD (2002) Gain modulation from background synaptic input. Neuron 35:77382 [PubMed] Dayan P, Abbott L (2001) Neural encoding: Firing rates and spike statistics Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems Delorme A, Thorpe SJ (2003) SpikeNET: an eventdriven simulation package for modelling large networks of spiking neurons. Network 14:61327 Destexhe A, Rudolph M, Pare D (2003) The highconductance state of neocortical neurons in vivo. Nat Rev Neurosci 4:73951 [PubMed] Diesmann M, Gewaltig MO (2002) NEST: An environment for neural systemssimulations Forschung und wisschenschaftliches Rechnen, Plesser T:Macho V, ed. pp.43 Diesmann M, Gewaltig MO, Aertsen A (1995) SYNOD: An environment forneural systems simulations: Language interface and tutorial Tel Aviv:Weizmann Institute of Science Diesmann M, Gewaltig MO, Aertsen A (1999) Stable propagation of synchronous spiking in cortical neural networks. Nature 402:52933 [Journal] [PubMed]
Diesmann M, Gewaltig MO, Rotter S, Aertsen AD (2001) State space analysis of synchronous spiking in cortical neural networks Neurocomputing 38:565571 Ermentrout GB (2002) Simulating, Analyzing, and Animating Dynamical System: A Guide to XPPAUT for Researchers and Students Society for Industrial and Applied Mathematics (SIAM) Galassi M, Gough B, Jungman G (2001) Gnu scientific library: Reference manual Gamma E, Helm R, Johnson R, Vlissides J (1994) Design patterns: Elements of reusable objectoriented Software Gerstein GL, Bedenbaugh P, Aertsen AMHJ (1989) Neuronal Assemblies. Ieee Trans Biomed Eng 36:414 Gewaltig MO (1999) Evolutionof synchronous spike volleys in cortical networks Network simulations and continuous probabilistic models. Unpublished doctoral dissertation. Gross J, Yellen J (1999) Graph theory and its applications Hansel D, Mato G, Meunier C, Neltner L (1998) On numerical simulations of integrateandfire neural networks. Neural Comput 10:46783 [PubMed] Hawkes AG (1971) Point spectra of some mutually exciting point processes J R Stat Soc Ser B 33:438443 Hebb DO (1949) The Organization Of Behavior Hines ML, Carnevale NT (1997) The NEURON simulation environment. Neural Comput 9:1179209 [PubMed] Jack JJB, Noble D, Tsien RW (1983) Linear cable theory Electrical Current Flow in Excitable Cells, Jack JJB:Noble D:Tsien RW, ed. pp.25 Knuth DE (1997) The art of computer programming: Seminumerical algorithms(3rd ed., Vol. 2) Koch C (1999) Biophysics Of Computation: Information Processing in Single Neurons Koch C, Segev I (1989) Methods In Neuronal Modeling, Koch C:Segev I, ed. Kuhn A, Aertsen A, Rotter S (2003) Higherorder statistics of input ensembles and the response of simple model neurons. Neural Comput 15:67101 [PubMed] Kuhn A, Aertsen A, Rotter S (2004) Neuronal integration of synaptic input in the fluctuationdriven regime. J Neurosci 24:234556 [PubMed] Kumar A, Kremkow J, Rotter S, Aertsen A (2004) Synaptic integration in a3compartment model of layer 5 pyramidal neurons FENS Abstr 2:14 Larkum ME, Zhu JJ, Sakmann B (2001) Dendritic mechanisms underlying the coupling of the dendritic with the axonal action potential initiation zone of adult rat layer 5 pyramidal neurons. J Physiol 533:44766 [PubMed] Lee G, Farhat NH (2004) The double queue method: a numerical method for integrateandfire neuron networks. Neural Netw 14:92132 Markram H, Tsodyks M (1996) Redistribution of synaptic efficacy between neocortical pyramidal neurons. Nature 382:80710 [PubMed] Mattia M, Del Giudice P (2000) Efficient eventdriven simulation of large networks of spiking neurons and dynamical synapses. Neural Comput 12:230529 [PubMed] Mehring C, Hehl U, Kubo M, Diesmann M, Aertsen A (2003) Activity dynamics and propagation of synchronous spiking in locally connected random networks. Biol Cybern 88:395408 [PubMed] Morrison A, Aertsen A, Diesmann M (2004) Stability of plastic recurrent networks Paper presented at the Monte VeritaWorkshop on SpikeTiming Dependent Plasticity, Monte Verita, Ascona, Switzerland Morrison A, Hake J, Straube S, Plesser HE, Diesmann M (2005) Precise spike timing with exact subthreshold integration in discrete time network simulations Proceedings of the 30th Gottingen Neurobiology Conference 1:205 Morrison A, Mehring C, Diesmann M, Aertsen A, Geisel T (2003) Distributed simulation of large biological neural networks Proceedings of the 29th Gottingen Neurobiology Conference :590 Pacheco PS (1997) Parallel programming with MPI Palm G (1990) Cell assemblies as a guideline for brain research Conc Neurosci 1:133148 Reutimann J, Giugliano M, Fusi S (2003) Eventdriven simulation of spiking neurons with stochastic dynamics. Neural Comput 15:81130 [PubMed] Rotter S, Diesmann M (1999) Exact digital simulation of timeinvariant linear systems with applications to neuronal modeling. Biol Cybern 81:381402 [PubMed] Salinas E, Sejnowski TJ (2000) Impact of correlated synaptic input on output firing rate and variability in simple neuronal models. J Neurosci 20:6193209 [PubMed] Shadlen MN, Newsome WT (1998) The variable discharge of cortical neurons: implications for connectivity, computation, and information coding. J Neurosci 18:387096 [Journal] [PubMed] Shelley MJ, Tao L (2001) Efficient and accurate timestepping schemes for integrateandfire neuronal networks. J Comput Neurosci 11:1119 [Journal] [PubMed] Singer W (1993) Synchronization of cortical activity and its putative role in information processing and learning. Annu Rev Physiol 55:34974 [PubMed] Singer W (1999) Time as coding space? Curr Opin Neurobiol 9:18994 [PubMed] Stroustrup B (1994) The design and evolution of C++ Stroustrup B (1997) The C++ programming language (3 ed.) Tam A, Wang C (2000) Efficient scheduling of complete exchange on clusters 13th International Conference on Parallel and Distributed Computing Systems Tetzlaff T, Morrison A, Geisel T, Diesmann M (2004) Consequences of realisticnetwork size on the stability of embedded synfire chains Neurocomputing 58:117121 Thomson AM, Deuchars J (1994) Temporal and spatial properties of local circuits in neocortex. Trends Neurosci 17:11926 [PubMed] von_der_Malsburg C (1981) The Correlation Theory of Brain Function Technical (Internal) Report 81:1 [Journal] Von_der_Malsburg C (1986) Am I thinking assemblies? Brain theory, Palm G:Aertsen A, ed. pp.161 Wilkinson B, Allen M (2004) Parallel programming: Techniques and applicationsusing networked workstations and parallel computers (2nd ed.)  Brette R (2006) Exact simulation of integrateandfire models with synaptic conductances. Neural Comput 18:200427 [PubMed] Brette R, Goodman DF (2011) Vectorized Algorithms for Spiking Neural Network Simulation. Neural Comput [Journal] [PubMed]
Brette R, Rudolph M, Carnevale T, Hines M, Beeman D, Bower JM, Diesmann M, Morrison A, et al. (2007) Simulation of networks of spiking neurons: A review of tools and strategies. J Comp Neurosci 23:34998 [Journal] [PubMed]
Hines ML, Markram H, Schuermann F (2008) Fully Implicit Parallel Simulation of Single Neurons J Comp Neurosci 25:439448 [Journal] [PubMed]
Kozloski J, Wagner J (2011) An Ultrascalable Solution to Largescale Neural Tissue Simulation. Front Neuroinform 5:15 [Journal] [PubMed] Kumar A, Schrader S, Aertsen A, Rotter S (2008) The highconductance state of cortical networks. Neural Comput 20:143 [PubMed] Migliore M, Cannia C, Lytton WW, Markram H, Hines ML (2006) Parallel Network Simulations with NEURON. J Comp Neurosci 21:110119 [Journal] [PubMed]
Mihalas S, Dong Y, von der Heydt R, Niebur E (2011) Eventrelated simulation of neural processing in complex visual scenes Information Sciences and Systems (CISS), 2011 45th Annual Conference 45:16 [Journal]
Morrison A, Aertsen A, Diesmann M (2007) Spiketimingdependent plasticity in balanced random networks. Neural Comput 19:143767 [PubMed] Morrison A, Straube S, Plesser HE, Diesmann M (2007) Exact subthreshold integration with continuous spike times in discretetime neural network simulations. Neural Comput 19:4779 [PubMed] Rangan AV, Cai D (2007) Fast numerical methods for simulating largescale integrateandfire neuronal networks. J Comput Neurosci 22:81100 [Journal] [PubMed] Tomsett RJ, Ainsworth M, Thiele A, Sanayei M, Chen X, Gieselmann MA, Whittington MA, Cunningh (2015) Virtual Electrode Recording Tool for EXtracellular potentials (VERTEX): comparing multielectrode recordings from simulated and biological mammalian cortical tissue. Brain Struct Funct 220(4):233353 [Journal] [PubMed]
