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

Escabí MA, Nassiri R, Miller LM, Schreiner CE, Read HL. (2005). The contribution of spike threshold to acoustic feature selectivity, spike information content, and information throughput. The Journal of neuroscience : the official journal of the Society for Neuroscience. 25 [PubMed]

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

Huang C, Zeldenrust F, Celikel T. (2022). Cortical Representation of Touch in Silico Neuroinformatics. 20 [PubMed]

• Realistic barrel cortical column - Matlab (Huang et al., 2022) [Model]
• Realistic barrel cortical column - NetPyNE (Huang et al., 2022) [Model]

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]

Keil MS. (2006). Smooth gradient representations as a unifying account of Chevreul's illusion, Mach bands, and a variant of the Ehrenstein disk. Neural computation. 18 [PubMed]

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

Masquelier T. (2012). Relative spike time coding and STDP-based orientation selectivity in the early visual system in natural continuous and saccadic vision: a computational model. Journal of computational neuroscience. 32 [PubMed]

• Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012) [Model]

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• Nonlinear neuronal computation based on physiologically plausible inputs (McFarland et al. 2013) [Model]

Mensi S et al. (2012). Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms. Journal of neurophysiology. 107 [PubMed]

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

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

Shlens J, Kennel MB, Abarbanel HD, Chichilnisky EJ. (2007). Estimating information rates with confidence intervals in neural spike trains. Neural computation. 19 [PubMed]

Thiel A, Greschner M, Ammermüller J. (2006). The temporal structure of transient ON/OFF ganglion cell responses and its relation to intra-retinal processing. Journal of computational neuroscience. 21 [PubMed]

Wohrer A, Kornprobst P. (2009). Virtual Retina: a biological retina model and simulator, with contrast gain control. Journal of computational neuroscience. 26 [PubMed]

• Virtual Retina: biological retina simulator, with contrast gain control (Wohrer and Kornprobst 2009) [Model]