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

Bruce IC, Irlicht LS, White MW, O'Leary SJ, Clark GM. (2000). Renewal-process approximation of a stochastic threshold model for electrical neural stimulation. Journal of computational neuroscience. 9 [PubMed]

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Bruce IC et al. (1999). A stochastic model of the electrically stimulated auditory nerve: single-pulse response. IEEE transactions on bio-medical engineering. 46 [PubMed]

• Cochlear implant models (Bruce et al. 1999a, b, c, 2000) [Model]

Eggert J, van Hemmen JL. (2001). Modeling neuronal assemblies: theory and implementation. Neural computation. 13 [PubMed]

Gerstner W, Kistler WM. (2002). Mathematical formulations of Hebbian learning. Biological cybernetics. 87 [PubMed]

Herrmann A, Gerstner W. (2001). Noise and the PSTH response to current transients: I. General theory and application to the integrate-and-fire neuron. Journal of computational neuroscience. 11 [PubMed]

Herrmann A, Gerstner W. (2002). Noise and the PSTH response to current transients: II. Integrate-and-fire model with slow recovery and application to motoneuron data. Journal of computational neuroscience. 12 [PubMed]

Hong S, Agüera y Arcas B, Fairhall AL. (2007). Single neuron computation: from dynamical system to feature detector. Neural computation. 19 [PubMed]

Jolivet R, Gerstner W. (2004). Predicting spike times of a detailed conductance-based neuron model driven by stochastic spike arrival. Journal of physiology, Paris. 98 [PubMed]

Jolivet R et al. (2008). A benchmark test for a quantitative assessment of simple neuron models. Journal of neuroscience methods. 169 [PubMed]

• Spike Response Model simulator (Jolivet et al. 2004, 2006, 2008) [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. Journal of neurophysiology. 92 [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. Journal of computational neuroscience. 21 [PubMed]

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

Jones A, Singh N, Huyck CR, Gandhi V. (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)

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

Kistler WM, De Zeeuw CI. (2003). Time windows and reverberating loops: a reverse-engineering approach to cerebellar function. Cerebellum (London, England). 2 [PubMed]

Kopell N, Rotstein HG, Clewley R. (2005). A Computational Tool for the Reduction of Nonlinear ODE Systems Possessing Multiple Scales Multiscale modeling & simulation. 4(3)

• Reduction of nonlinear ODE systems possessing multiple scales (Clewley et al. 2005) [Model]

Lansky P, Sanda P, He J. (2006). The parameters of the stochastic leaky integrate-and-fire neuronal model. Journal of computational neuroscience. 21 [PubMed]

McTavish TS, Migliore M, Shepherd GM, Hines ML. (2012). Mitral cell spike synchrony modulated by dendrodendritic synapse location. Frontiers in computational neuroscience. 6 [PubMed]

• Synchrony by synapse location (McTavish et al. 2012) [Model]

Olypher AV, Lánský P, Fenton AA. (2002). Properties of the extra-positional signal in hippocampal place cell discharge derived from the overdispersion in location-specific firing. Neuroscience. 111 [PubMed]

Powers RK, Dai Y, Bell BM, Percival DB, Binder MD. (2005). Contributions of the input signal and prior activation history to the discharge behaviour of rat motoneurones. The Journal of physiology. 562 [PubMed]

• Contibutions of input and history to motoneuron output (Powers et al 2005) [Model]

Tonnelier A. (2005). Categorization of neural excitability using threshold models. Neural computation. 17 [PubMed]

Zeldenrust F, Chameau P, Wadman WJ. (2018). Spike and burst coding in thalamocortical relay cells. PLoS computational biology. 14 [PubMed]

• Thalamocortical Relay cell under current clamp in high-conductance state (Zeldenrust et al 2018) [Model]

Zeldenrust F, Chameau PJ, Wadman WJ. (2013). Reliability of spike and burst firing in thalamocortical relay cells. Journal of computational neuroscience. 35 [PubMed]

• Reliability of Morris-Lecar neurons with added T, h, and AHP currents (Zeldenrust et al. 2013) [Model]

Zhang X, Carney LH. (2005). Response properties of an integrate-and-fire model that receives subthreshold inputs. Neural computation. 17 [PubMed]

• Response properties of an integrate and fire model (Zhang and Carney 2005) [Model]