Citation Relationships



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[PubMed]

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

References and models cited by this paper

References and models that cite this paper

Abeles M (1991) Corticonics: Neural Circuits of the Cerebral Cortex.

Aguera y Arcas B, Fairhall AL, Bialek W (2003) Computation in a single neuron: Hodgkin and Huxley revisited. Neural Comput 15:1715-49 [PubMed]

Aronov D, Victor JD (2004) Non-Euclidean properties of spike train metric spaces Phys Rev E 69:061905

Benda J, Herz AV (2003) A universal model for spike-frequency adaptation. Neural Comput 15:2523-64 [PubMed]

Bower JM, Beeman D (1995) The Book of GENESIS: Exploring Realistic Neural Models with the GEneral NEural SImulation System. [Journal]

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]

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 (1988) The maximum likelihood approach to the identification of neuronal firing systems. Ann Biomed Eng 16:3-16 [PubMed]

Brillinger DR, Segundo JP (1979) Empirical examination of the threshold model of neuron firing. Biol Cybern 35:213-20

Brunel N, Hakim V, Richardson MJ (2003) Firing-rate resonance in a generalized integrate-and-fire neuron with subthreshold resonance. Phys Rev E Stat Nonlin Soft Matter Phys 67:051916

Chatfield C (2003) The analysis of time series: an introduction

Clopath C, Jolivet R, Rauch A, Luscher HR, Gerstner W (2007) Predicting neuronal activity with simple models of the threshold type: adaptive exponential integrate-and-fire model with two compartments Neurocomput 70:1668-1673

Cox D, Miller H (1965) The Theory of Stochastic Processes

Druckmann S, Banitt Y, Gidon A, Schurmann F, Markram H, Segev I (2007) A novel multiple objective optimization framework for constraining conductance-based neuron models by experimental data. Front Neurosci 1:7-18 [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]

Geisler CD, Goldberg JM (1966) A stochastic model of the repetitive activity of neurons Biophys J 7:53-69

Geisler WS, Albrecht DG, Salvi RJ, Saunders SS (1991) Discrimination performance of single neurons: rate and temporal-pattern information. J Neurophysiol 66:334-62 [PubMed]

Gerstner W, Kistler WM (2002) Spiking neuron models

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 [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]

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]

Ikegaya Y, Aaron G, Cossart R, Aronov D, Lampl I, Ferster D, Yuste R (2004) Synfire chains and cortical songs: temporal modules of cortical activity. Science 304:559-64 [PubMed]

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]

Izhikevich EM (2004) Which model to use for cortical spiking neurons? IEEE Trans Neural Netw 15:1063-70 [Journal] [PubMed]

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

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 [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

Kobayashi R, Shinomoto S (2007) State space method for predicting the spike times of a neuron. Phys Rev E Stat Nonlin Soft Matter Phys 75:011925 [Journal] [PubMed]

La Camera G, Rauch A, Luscher HR, Senn W, Fusi S (2004) Minimal models of adapted neuronal response to in vivo-like input currents. Neural Comput 16:2101-24 [PubMed]

La Camera G, Rauch A, Thurbon D, Luscher HR, Senn W, Fusi S (2006) Multiple time scales of temporal response in pyramidal and fast spiking cortical neurons. J Neurophysiol 96:3448-64 [PubMed]

Lansky P, Sanda P, He J (2006) The parameters of the stochastic leaky integrate-and-fire neuronal model. J Comput Neurosci 21:211-23 [Journal] [PubMed]

MacLeod K, Backer A, Laurent G (1998) Who reads temporal information contained across synchronized and oscillatory spike trains? Nature 395:693-8 [PubMed]

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

Markram H (2006) The blue brain project. Nat Rev Neurosci 7:153-60 [Journal] [PubMed]

Marmarelis VZ, Berger TW (2005) General methodology for nonlinear modeling of neural systems with Poisson point-process inputs. Math Biosci 196:1-13 [PubMed]

McCormick DA, Connors BW, Lighthall JW, Prince DA (1985) Comparative electrophysiology of pyramidal and sparsely spiny stellate neurons of the neocortex. J Neurophysiol 54:782-806 [Journal] [PubMed]

Paninski L, Pillow J, Simoncelli E (2005) Comparing integrate-and-fire models estimated using intracellular and extracellular data Neurocomputing 65:379-385

Pillow JW, Paninski L, Uzzell VJ, Simoncelli EP, Chichilnisky EJ (2005) Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model. J Neurosci 25:11003-13 [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]

Prinz AA, Bucher D, Marder E (2004) Similar network activity from disparate circuit parameters. Nat Neurosci 7:1345-52 [PubMed]

   Lobster STG pyloric network model with calcium sensor (Gunay & Prinz 2010) (Prinz et al. 2004) [Model]

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]

Song D, Chan RH, Marmarelis VZ, Hampson RE, Deadwyler SA, Berger TW (2007) Nonlinear dynamic modeling of spike train transformations for hippocampal-cortical prostheses. IEEE Trans Biomed Eng 54:1053-66 [PubMed]

Tsubo Y, Kaneko T, Shinomoto S (2004) Predicting spike timings of current-injected neurons. Neural Netw 17:165-73 [PubMed]

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

van Rossum MC (2001) A novel spike distance. Neural Comput 13:751-63 [PubMed]

Vanier MC, Bower JM (1999) A comparative survey of automated parameter-search methods for compartmental neural models. J Comput Neurosci 7:149-71 [Journal] [PubMed]

Victor J, Purpura K (1997) Metric-space analysis of spike trains: Theory, algorithms and application Comput Neural Syst 8:127-164

Victor JD, Purpura KP (1996) Nature and precision of temporal coding in visual cortex: a metric-space analysis. J Neurophysiol 76:1310-26 [Journal] [PubMed]

Westwick DT, Kearney RE (2003) Identification of nonlinear physiological systems

Wiener N (1958) Nonlinear Problems in Random Theory

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]

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]

Neymotin SA, Suter BA, Dura-Bernal S, Shepherd GM, Migliore M, Lytton WW (2017) Optimizing computer models of corticospinal neurons to replicate in vitro dynamics. J Neurophysiol 117(1):148-162 [Journal] [PubMed]

   Computer models of corticospinal neurons replicate in vitro dynamics (Neymotin et al. 2017) [Model]

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]

(57 refs)