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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 [PubMed]

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

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References and models that cite this paper

Abbott LF, Kepler TB (1990) Model neurons: from Hodgkin Huxley to Hopfield. Statistical Mechanics of Neural Networks Lecture Notes in Physics, Garrido L, ed. pp.5
Abbott LF, van Vreeswijk C (1993) Asynchronous states in networks of pulse-coupled oscillators. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics 48:1483-1490 [PubMed]
Agüera y Arcas B, Fairhall AL, Bialek W (2003) Computation in a single neuron: Hodgkin and Huxley revisited. Neural Comput 15:1715-49 [Journal] [PubMed]
Benda J, Herz AV (2003) A universal model for spike-frequency adaptation. Neural Comput 15:2523-64 [Journal] [PubMed]
Bower JM, Beeman D (1995) The Book of GENESIS: Exploring Realistic Neural Models with the GEneral NEural SImulation System. [Journal]
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]
Brillinger DR (1988) Maximum likelihood analysis of spike trains of interacting nerve cells. Biol Cybern 59:189-200 [PubMed]
Brillinger DR, Segundo JP (1979) Empirical examination of the threshold model of neuron firing. Biol Cybern 35:213-20 [PubMed]
Bryant HL, Segundo JP (1976) Spike initiation by transmembrane current: a white-noise analysis. J Physiol 260:279-314 [PubMed]
Calvin WH, Stevens CF (1968) Synaptic noise and other sources of randomness in motoneuron interspike intervals. J Neurophysiol 31:574-87 [Journal] [PubMed]
Dayan P, Abbott LF (2001) Theoretical Neuroscience. Computational and Mathematical Modeling of Neural Systems
Destexhe A (1997) Conductance-based integrate-and-fire models. Neural Comput 9:503-14 [PubMed]
Destexhe A, Paré D (1999) Impact of network activity on the integrative properties of neocortical pyramidal neurons in vivo. J Neurophysiol 81:1531-47 [Journal] [PubMed]
  • NN activity impact on neocortical pyr. neurons integrative properties in vivo (Destexhe & Pare 1999) [Model]
Erisir A, Lau D, Rudy B, Leonard CS (1999) Function of specific K(+) channels in sustained high-frequency firing of fast-spiking neocortical interneurons. J Neurophysiol 82:2476-89 [Journal] [PubMed]
Ermentrout B (1996) Type I membranes, phase resetting curves, and synchrony. Neural Comput 8:979-1001 [PubMed]
Ermentrout GB, Kopell N (1986) Parabolic bursting in an excitable system coupled with a slow oscillation. Siam J Appl Math 46:233-253
Feng J (2001) Is the integrate-and-fire model good enough?--a review. Neural Netw 14:955-75 [PubMed]
Fitzhugh R (1961) Impulses and Physiological States in Theoretical Models of Nerve Membrane. Biophys J 1:445-66 [PubMed]
Fourcaud-Trocmé 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]
FUORTES MG, MANTEGAZZINI F (1962) Interpretation of the repetitive firing of nerve cells. J Gen Physiol 45:1163-79 [PubMed]
Geisler CD, Goldberg JM (1966) A stochastic model of the repetitive activity of neurons. Biophys J 6:53-69 [Journal] [PubMed]
Gerstner W (1995) Time structure of the activity in neural network models. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics 51:738-758 [PubMed]
Gerstner W (2001) A framework for spiking neuron models: The spike response method The Handbook of Biological Physics, Gielen S et al, ed. pp.469
Gerstner W, Kistler WM (2002) Spiking neuron models
Hansel D, Mato G (2001) Existence and stability of persistent states in large neuronal networks. Phys Rev Lett 86:4175-8 [Journal] [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]
Harsch A, Robinson HP (2000) Postsynaptic variability of firing in rat cortical neurons: the roles of input synchronization and synaptic NMDA receptor conductance. J Neurosci 20:6181-92 [PubMed]
Hill AV (1936) Excitation and accomodation in nerve Proc Roy Soc 119:305-355
Hodgkin AL (1948) The local electric changes associated with repetitive action in a non-medullated axon. J Physiol 107:165-81 [PubMed]
Holden AV (1976) Models of the Stochastic Activity of Neurones
Hoppensteadt FC, Izhikevich EM (1997) Weakly Connected Neural Networks :90
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]
Kepler TB, Abbott LF, Marder E (1992) Reduction of conductance-based neuron models. Biol Cybern 66:381-7 [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
Koch C, Segev I (1989) Methods In Neuronal Modeling, Koch C:Segev I, ed.
Latham PE, Richmond BJ, Nelson PG, Nirenberg S (2000) Intrinsic dynamics in neuronal networks. I. Theory. J Neurophysiol 83:808-27 [Journal] [PubMed]
Lee YW, Schetzen M (1965) Measurement of the Wiener kernels of a non-linear system by cross-correlation Int J Cont 2:237-255
Maass W, Bishop CM (1999) Pulsed Neural Networks.
Mainen ZF, Sejnowski TJ (1995) Reliability of spike timing in neocortical neurons. Science 268:1503-6 [PubMed]
Monier C, Chavane F, Baudot P, Graham LJ, Frégnac Y (2003) Orientation and direction selectivity of synaptic inputs in visual cortical neurons: a diversity of combinations produces spike tuning. Neuron 37:663-80 [PubMed]
Nagumo J, Arimoto S, Yoshizawa S (1962) An Active Pulse Transmission Line Simulating Nerve Axon Proceedings of the IRE 50:2061-2070 [Journal]
Nelder JA, Mead J (1965) A simplex algorithm for function minimization Computer J 7:308-313
Rauch A, La Camera G, Luscher HR, Senn W, Fusi S (2003) Neocortical pyramidal cells respond as integrate-and-fire neurons to in vivo-like input currents. J Neurophysiol 90:1598-612 [Journal] [PubMed]
Reinagel P, Reid RC (2002) Precise firing events are conserved across neurons. J Neurosci 22:6837-41 [Journal] [PubMed]
Reyes AD (2003) Synchrony-dependent propagation of firing rate in iteratively constructed networks in vitro. Nat Neurosci 6:593-9 [Journal] [PubMed]
Richardson MJ (2004) The effects of synaptic conductance on the voltage distribution and firing rate of spiking neurons Phys Rev E 69:044405
Rinzel J (1985) Excitation dynamics: insights from simplified membrane models. Fed Proc 44:2944-6 [PubMed]
Robinson HP, Kawai N (1993) Injection of digitally synthesized synaptic conductance transients to measure the integrative properties of neurons. J Neurosci Methods 49:157-65 [PubMed]
STEIN RB (1965) A THEORETICAL ANALYSIS OF NEURONAL VARIABILITY. Biophys J 5:173-94 [PubMed]
Stein RB (1967) Some models of neuronal variability. Biophys J 7:37-68 [Journal] [PubMed]
Stevens CF, Zador AM (1998) Novel integrate-and-fire-like model of repetitive firing in cortical neurons. Proceedings of the Fifth Joint Symposium on Neural Computation
Tanabe S, Pakdaman K (2001) Noise-enhanced neuronal reliability. Phys Rev E Stat Nonlin Soft Matter Phys 64:041904 [Journal] [PubMed]
Tuckwell HC (1988) Introduction to Theoretical Neurobiology. Volume 2: Nonlinear and Stochastic Theories
Wang XJ (1998) Calcium coding and adaptive temporal computation in cortical pyramidal neurons. J Neurophysiol 79:1549-66 [Journal] [PubMed]
Wang Y, Gupta A, Toledo-Rodriguez M, Wu CZ, Markram H (2002) Anatomical, physiological, molecular and circuit properties of nest basket cells in the developing somatosensory cortex. Cereb Cortex 12:395-410 [PubMed]
Wehmeier U, Dong D, Koch C, Van_essen D (1989) Modeling the mammalian visual system Methods in Neuronal Modeling, Koch C:Segev I, ed. pp.335
Weiss TF (1966) A model of the peripheral auditory system. Kybernetik 3:153-75 [PubMed]
Wiener N (1958) Nonlinear Problems in Random Theory
Badel L, Lefort S, Brette R, Petersen CC, Gerstner W, Richardson MJ (2008) Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces. J Neurophysiol 99:656-66 [Journal] [PubMed]
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]
Doiron B, Oswald AM, Maler L (2007) Interval coding. II. Dendrite-dependent mechanisms. J Neurophysiol 97:2744-57 [Journal] [PubMed]
Huys QJ, Ahrens MB, Paninski L (2006) Efficient estimation of detailed single-neuron models. J Neurophysiol 96:872-90 [Journal] [PubMed]
  • Efficient estimation of detailed single-neuron models (Huys et al. 2006) [Model]
Huys QJ, Paninski L (2009) Smoothing of, and parameter estimation from, noisy biophysical recordings. PLoS Comput Biol 5:e1000379 [Journal] [PubMed]
  • Smoothing of, and parameter estimation from, noisy biophysical recordings (Huys & Paninski 2009) [Model]
Jolivet R, Gerstner W (2004) Predicting spike times of a detailed conductance-based neuron model driven by stochastic spike arrival. J Physiol Paris 98:442-51 [Journal] [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, Lüscher HR, Gerstner W (2006) Predicting spike timing of neocortical pyramidal neurons by simple threshold models. J Comput Neurosci 21:35-49 [Journal] [PubMed]
  • Spike Response Model simulator (Jolivet et al. 2004, 2006, 2008) [Model]
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]
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 107:1756-75 [Journal] [PubMed]
  • Extraction and classification of three cortical neuron types (Mensi et al. 2012) [Model]
Paninski L (2006) The most likely voltage path and large deviations approximations for integrate-and-fire neurons. J Comput Neurosci 21:71-87 [Journal] [PubMed]
Richardson MJ, Gerstner W (2005) Synaptic shot noise and conductance fluctuations affect the membrane voltage with equal significance. Neural Comput 17:923-47 [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]
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]
Rudolph M, Destexhe A (2006) Event-based simulation strategy for conductance-based synaptic interactions and plasticity Neurocomputing 69:1130-1133
Shao J, Lai D, Meyer U, Luksch H, Wessel R (2009) Generating oscillatory bursts from a network of regular spiking neurons without inhibition. J Comput Neurosci 27:591-606 [Journal] [PubMed]
  • Generating oscillatory bursts from a network of regular spiking neurons (Shao et al. 2009) [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]
Tonnelier A (2005) Categorization of neural excitability using threshold models. Neural Comput 17:1447-55 [PubMed]
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]
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