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

Couto J, Linaro D, De Schutter E, Giugliano M. (2015). On the firing rate dependency of the phase response curve of rat Purkinje neurons in vitro. PLoS computational biology. 11 [PubMed]

• Phase response curves firing rate dependency of rat purkinje neurons in vitro (Couto et al 2015) [Model]

Edelstein SJ, Schaad O, Henry E, Bertrand D, Changeux JP. (1996). A kinetic mechanism for nicotinic acetylcholine receptors based on multiple allosteric transitions. Biological cybernetics. 75 [PubMed]

• A nicotinic acetylcholine receptor kinetic model (Edelstein et al. 1996) [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, 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]

Linaro D, Ocker GK, Doiron B, Giugliano M. (2019). Correlation Transfer by Layer 5 Cortical Neurons Under Recreated Synaptic Inputs In Vitro. The Journal of neuroscience : the official journal of the Society for Neuroscience. 39 [PubMed]

• L5 cortical neurons with recreated synaptic inputs in vitro correlation transfer (Linaro et al 2019) [Model]

Linaro D, Storace M, Giugliano M. (2011). Accurate and fast simulation of channel noise in conductance-based model neurons by diffusion approximation. PLoS computational biology. 7 [PubMed]

• Accurate and fast simulation of channel noise in conductance-based model neurons (Linaro et al 2011) [Model]