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Brette R, Gerstner W (2005) Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. J Neurophysiol 94:3637-42[PubMed]

  • Adaptive exponential integrate-and-fire model (Brette & Gerstner 2005)

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, Guigon E (2003) Reliability of spike timing is a general property of spiking model neurons. Neural Comput 15:279-308 [Journal] [PubMed]

  • Reliability of spike timing is a general property of spiking model neurons (Brette & Guigon 2003) [Model]

Destexhe A, Contreras D, Steriade M (1998) Mechanisms underlying the synchronizing action of corticothalamic feedback through inhibition of thalamic relay cells. J Neurophysiol 79:999-1016 [Journal] [PubMed]

  • Pyramidal Neuron: Deep, Thalamic Relay and Reticular, Interneuron (Destexhe et al 1998, 2001) [Model]

Destexhe A, Rudolph M, Fellous JM, Sejnowski TJ (2001) Fluctuating synaptic conductances recreate in vivo-like activity in neocortical neurons. Neuroscience 107:13-24 [PubMed]

  • Fluctuating synaptic conductances recreate in-vivo-like activity (Destexhe et al 2001) [Model]
  • Thalamocortical Relay cell under current clamp in high-conductance state (Zeldenrust et al 2018) [Model]

Destexhe A, Rudolph M, Pare D (2003) The high-conductance state of neocortical neurons in vivo. Nat Rev Neurosci 4:739-51 [PubMed]

Ermentrout B (1996) Type I membranes, phase resetting curves, and synchrony. Neural Comput 8:979-1001 [PubMed]

Fourcaud-Trocme N, Hansel D, van Vreeswijk C, Brunel N (2003) How spike generation mechanisms determine the neuronal response to fluctuating inputs. J Neurosci 23:11628-40 [PubMed]

Goldman MS, Golowasch J, Marder E, Abbott LF (2001) Global structure, robustness, and modulation of neuronal models. J Neurosci 21:5229-38 [Journal] [PubMed]

  • Global structure, robustness, and modulation of neuronal models (Goldman et al. 2001) [Model]

Hille B (2001) Classic mechanisms of block Ion Channels of Excitable Membranes (3rd edn) :503-537

Hines ML, Carnevale NT (1997) The NEURON simulation environment. Neural Comput 9:1179-209 [PubMed]

Hodgkin AL, Huxley AF (1952) A quantitative description of membrane current and its application to conduction and excitation in nerve. J Physiol 117:500-44 [Journal] [PubMed]

  • Squid axon (Hodgkin, Huxley 1952) (LabAXON) [Model]
  • Squid axon (Hodgkin, Huxley 1952) (NEURON) [Model]
  • Squid axon (Hodgkin, Huxley 1952) (SNNAP) [Model]
  • Squid axon (Hodgkin, Huxley 1952) used in (Chen et al 2010) (R language) [Model]
  • Squid axon (Hodgkin, Huxley 1952) (SBML, XPP, other) [Model]

Izhikevich EM (2003) Simple model of spiking neurons. IEEE Trans Neural Netw 14:1569-72 [Journal] [PubMed]

  • Artificial neuron model (Izhikevich 2003, 2004, 2007) [Model]

Jolivet R, Lewis TJ, Gerstner W (2004) Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy. J Neurophysiol 92:959-76 [Journal] [PubMed]

  • Spike Response Model simulator (Jolivet et al. 2004, 2006, 2008) [Model]

Keat J, Reinagel P, Reid RC, Meister M (2001) Predicting every spike: a model for the responses of visual neurons. Neuron 30:803-17 [PubMed]

Kistler WM, Gerstner W, van Hemmen JL (1997) Reduction of Hodgkin-Huxley equations to a single-variable threshold model. Neural Comput 9:1015-1045

Lapicque L (1907) Recherches quantitatives sur lexcitation electrique des nerfs traitee comme une polarisation J Physiol Pathol Gen 9:620-635 [Journal]

Latham PE, Richmond BJ, Nelson PG, Nirenberg S (2000) Intrinsic dynamics in neuronal networks. I. Theory. J Neurophysiol 83:808-27 [Journal] [PubMed]

Mainen ZF, Sejnowski TJ (1995) Reliability of spike timing in neocortical neurons. Science 268:1503-6 [PubMed]

McCormick DA, Wang Z, Huguenard J (1993) Neurotransmitter control of neocortical neuronal activity and excitability. Cereb Cortex 3:387-98 [PubMed]

Paninski L, Pillow JW, Simoncelli EP (2004) Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model. Neural Comput 16:2533-61 [PubMed]

Pare D, Shink E, Gaudreau H, Destexhe A, Lang EJ (1998) Impact of spontaneous synaptic activity on the resting properties of cat neocortical pyramidal neurons In vivo. J Neurophysiol 79:1450-60 [Journal] [PubMed]

Prinz AA, Billimoria CP, Marder E (2003) Alternative to hand-tuning conductance-based models: construction and analysis of databases of model neurons. J Neurophysiol 90:3998-4015 [Journal] [PubMed]

Richardson MJ, Brunel N, Hakim V (2003) From subthreshold to firing-rate resonance. J Neurophysiol 89:2538-54 [Journal] [PubMed]

Roth A, Hausser M (2001) Compartmental models of rat cerebellar Purkinje cells based on simultaneous somatic and dendritic patch-clamp recordings. J Physiol 535:445-72 [PubMed]

Segev I, Fleshman JW, Burke RE (1989) Compartmental models of complex neurons Methods In Neuronal Modelling: From Synapses To Networks, Koch C:Segev I, ed. pp.63

Sharp AA, O'Neil MB, Abbott LF, Marder E (1993) The dynamic clamp: artificial conductances in biological neurons. Trends Neurosci 16:389-94 [PubMed]

Stein RB (1967) Some models of neuronal variability. Biophys J 7:37-68 [PubMed]

Steriade M (2004) Neocortical cell classes are flexible entities. Nat Rev Neurosci 5:121-34 [PubMed]

Tuckwell HC (1988) Introduction To Theoretical Neurobiology: Vol 1, Linear Cable Theory And Dendritic Structure

Arsiero M, Luscher HR, Lundstrom BN, Giugliano M (2007) The Impact of Input Fluctuations on the Frequency-Current Relationships of Layer 5 Pyramidal Neurons in the Rat Medial Prefrontal Cortex. J Neurosci 27(12):3274-3284 [Journal] [PubMed]

  • Input Fluctuations effects on f-I curves (Arsiero et al. 2007) [Model]

Badel L, Lefort S, Brette R, Petersen CC, Gerstner W, Richardson MJ (2007) Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces. J Neurophysiol 99(2):656-66 [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 23:349-98 [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]

Carnevale NT, Morse TM (1996-2009) Research reports that have used NEURON Web published citations at the NEURON website [Journal]

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]

Clopath C, Busing L, Vasilaki E, Gerstner W (2010) Connectivity reflects coding: a model of voltage-based STDP with homeostasis. Nat Neurosci 13:344-52 [Journal] [PubMed]

  • Voltage-based STDP synapse (Clopath et al. 2010) [Model]

Clopath C, Ziegler L, Vasilaki E, Busing L, Gerstner W (2008) Tag-trigger-consolidation: a model of early and late long-term-potentiation and depression. PLoS Comput Biol 4:e1000248 [Journal] [PubMed]

  • Tag Trigger Consolidation (Clopath and Ziegler et al. 2008) [Model]

Cohen MX (2014) Fluctuations in oscillation frequency control spike timing and coordinate neural networks Journal of Neuroscience 34(27):8988-8998 [Journal]

  • Input strength and time-varying oscillation peak frequency (Cohen MX 2014) [Model]

Costa RP, Froemke RC, Sjöström PJ, van Rossum MC (2015) Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning. Elife [Journal] [PubMed]

  • Memory savings through unified pre- and postsynaptic STDP (Costa et al 2015) [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]

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]

Dragly SA, Hobbi Mobarhan M, Våvang Solbrå A, Tennøe S, Hafreager A, Malthe-Sørenssen A, Fyhn M, Hafting T, Einevoll GT (2017) Neuronify: An Educational Simulator for Neural Circuits. eNeuro [Journal] [PubMed]

  • Neuronify: An Educational Simulator for Neural Circuits (Dragly et al 2017) [Model]

Ermentrout GB, Terman DH (2010) Mathematical Foundations of Neuroscience Interdisciplinary Applied Mathematics, Antman SS:Marsden JE:Sirovich L:Wiggins, ed. pp.1 [Journal]

  • Mathematical Foundations of Neuroscience (Ermentrout and Terman 2010) [Model]

Fiebig F, Lansner A (2017) A Spiking Working Memory Model Based on Hebbian Short-Term Potentiation. J Neurosci 37:83-96 [Journal] [PubMed]

Goodman DF, Brette R (2010) Spike-timing-based computation in sound localization. PLoS Comput Biol 6:e1000993 [Journal] [PubMed]

  • Spike-Timing-Based Computation in Sound Localization (Goodman and Brette 2010) [Model]

Hass J, Hertag L, Durstewitz D (2016) A detailed data-driven network model of prefrontal cortex reproduces key features of in vivo activity PLoS Comput Biol 12(5):e1004930 [Journal] [PubMed]

  • A detailed data-driven network model of prefrontal cortex (Hass et al 2016) [Model]

Jolivet R, Gerstner W (2006) Predicting spike times of a detailed conductance-based neuron model driven by stochastic spike arrival. J Physiol Paris 98:442-51 [PubMed]

Jolivet R, Kobayashi R, Rauch A, Naud R, Shinomoto S, Gerstner W (2008) A benchmark test for a quantitative assessment of simple neuron models. J Neurosci Methods 169:417-24 [Journal] [PubMed]

  • Spike Response Model simulator (Jolivet et al. 2004, 2006, 2008) [Model]

Jolivet R, Rauch A, Luscher HR, Gerstner W (2006) Predicting spike timing of neocortical pyramidal neurons by simple threshold models. J Comput Neurosci 21:35-49 [PubMed]

Jovlivet R, Rauch A, Luscher HR, Gerstner W (2006) Predicting spike timing of neocortical pyramidal neurons by simple threshold models J Comput Neurosci 21:35-49 [Journal]

Kobayashi R, Tsubo Y, Shinomoto S (2009) Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold. Front Comput Neurosci 3:9 [Journal] [PubMed]

  • Multi-timescale adaptive threshold model (Kobayashi et al 2009) (NEURON) [Model]
  • Multi-timescale adaptive threshold model (Kobayashi et al 2009) [Model]

Koendgen H, Geisler C, Fusi S, Wang XJ, Luscher HR, Giugliano M (2008) The dynamical response properties of neocortical neurons to temporally modulated noisy inputs in vitro. Cereb Cortex 18:2086-97 [Journal] [PubMed]

  • Response properties of neocort. neurons to temporally modulated noisy inputs (Koendgen et al. 2008) [Model]

Malerba P, Krishnan GP, Fellous JM, Bazhenov M (2016) Hippocampal CA1 Ripples as Inhibitory Transients. PLoS Comput Biol 12:e1004880 [Journal] [PubMed]

  • CA1 pyramidal cells, basket cells, ripples (Malerba et al 2016) [Model]

Melozzi F, Woodman MM, Jirsa VK, Bernard C (2017) The Virtual Mouse Brain: A Computational Neuroinformatics Platform to Study Whole Mouse Brain Dynamics eNeuro [Journal]

  • The Virtual Mouse Brain (TVMB) (Melozzi et al. 2017) [Model]

Mensi S, Naud R, Pozzorini C, Avermann M, Petersen CC, Gerstner W (2012) Parameter Extraction and Classification of Three Cortical Neuron Types Reveals Two Distinct Adaptation Mechanisms J Neurophysiol 107(6):1756-1775 [Journal] [PubMed]

  • Extraction and classification of three cortical neuron types (Mensi et al. 2012) [Model]

Moren J, Shibata T, Doya K (2013) The mechanism of saccade motor pattern generation investigated by a large-scale spiking neuron model of the superior colliculus. PLoS One 8:e57134 [Journal] [PubMed]

  • A spatial model of the intermediate superior colliculus (Moren et. al. 2013) [Model]

Muller E, Buesing L, Schemmel J, Meier K (2007) Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories. Neural Comput 19:2958-3010 [PubMed]

Nicola W, Campbell SA (2013) Bifurcations of large networks of two-dimensional integrate and fire neurons. J Comput Neurosci [Journal] [PubMed]

  • Mean Field Equations for Two-Dimensional Integrate and Fire Models (Nicola and Campbell, 2013) [Model]

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]

Platkiewicz J, Brette R (2011) Impact of fast sodium channel inactivation on spike threshold dynamics and synaptic integration. PLoS Comput Biol 7:e1001129-78 [Journal] [PubMed]

  • Impact of fast Na channel inact. on AP threshold & synaptic integration (Platkiewicz & Brette 2011) [Model]

Pospischil M, Toledo-Rodriguez M, Monier C, Piwkowska Z, Bal T, Fregnac Y, Markram A, Destexhe A (2008) Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons. Biol Cybern 99:427-41 [Journal] [PubMed]

  • Hodgkin-Huxley models of different classes of cortical neurons (Pospischil et al. 2008) [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]

Singh N, Huyck C, Gandhi V, Jones A (2016) Neuron-Based Control Mechanisms for a Robotic Arm and Hand ICMRRS 2017: International Conference on Medical Robotics and Robotics for Surgery, Paris, France 3(2):660 [Journal]

  • Neuron-based control mechanisms for a robotic arm and hand (Singh et al 2017) [Model]

Stewart RD, Bair W (2009) Spiking neural network simulation: numerical integration with the Parker-Sochacki method. J Comput Neurosci [Journal] [PubMed]

  • Numerical Integration of Izhikevich and HH model neurons (Stewart and Bair 2009) [Model]

Tchumatchenko T, Clopath C (2014) Oscillations emerging from noise-driven steady state in networks with electrical synapses and subthreshold resonance. Nat Commun 5:5512 [Journal] [PubMed]

  • Oscillations emerging from noise-driven NNs (Tchumatchenko & Clopath 2014) [Model]

Tikidji-Hamburyan RA, Narayana V, Bozkus Z, El-Ghazawi TA (2017) Software for Brain Network Simulations: A Comparative Study Front. Neuroinform. [Journal]

  • Brain networks simulators - a comparative study (Tikidji-Hamburyan et al 2017) [Model]

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, in press

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 multi-electrode recordings from simulated and biological mammalian cortical tissue. Brain Struct Funct 220(4):2333-53 [Journal] [PubMed]

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

Tonnelier A, Belmabrouk H, Martinez D (2007) Event-driven simulations of nonlinear integrate-and-fire neurons. Neural Comput 19:3226-38 [PubMed]

Touboul J, Brette R (2008) Dynamics and bifurcations of the adaptive exponential integrate-and-fire model Biol Cyber 99(4-5):319-34 [Journal] [PubMed]

  • Brette-Gerstner model (Touboul and Brette 2008) [Model]

Van Pottelbergh T, Drion G, Sepulchre R (2018) Robust Modulation of Integrate-and-Fire Models. Neural Comput 30:987-1011 [Journal] [PubMed]

  • Robust modulation of integrate-and-fire models (Van Pottelbergh et al 2018) [Model]

Vasilaki E, Giugliano M (2014) Emergence of connectivity motifs in networks of model neurons with short- and long-term plastic synapses. PLoS One 9:e84626 [Journal] [PubMed]

  • Emergence of Connectivity Motifs in Networks of Model Neurons (Vasilaki, Giugliano 2014) [Model]

Venkadesh S, Komendantov AO, Listopad S, Scott EO, De Jong K, Krichmar JL, Ascoli GA (2018) Evolving Simple Models of Diverse Intrinsic Dynamics in Hippocampal Neuron Types Frontiers in Neuroinformatics 12:8 [Journal]

  • Evolving simple models of diverse dynamics in hippocampal neuron types (Venkadesh et al 2018) [Model]

Vich C, Berg RW, Guillamon A, Ditlevsen S (2017) Estimation of Synaptic Conductances in Presence of Nonlinear Effects Caused by Subthreshold Ionic Currents. Front Comput Neurosci 11:69 [Journal] [PubMed]

  • QIF method to estimate synaptic conductances (Vich et al 2017) [Model]

Zerlaut Y, Chemla S, Chavane F, Destexhe A (2017) Modeling mesoscopic cortical dynamics using a mean-field model of conductance-based networks of adaptive exponential integrate-and-fire neurons. J Comput Neurosci [Journal] [PubMed]

  • Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al., JCNS 2017) [Model]

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