Bugmann G, Christodoulou C, Clarkson T. (). A Spiking Neuron Model: Applications and Learning. Neural Networks. 15
Gutkin B, Ermentrout GB, Rudolph M. (2003). Spike generating dynamics and the conditions for spike-time precision in cortical neurons. Journal of computational neuroscience. 15 [PubMed]
Jackson BS. (2004). Including long-range dependence in integrate-and-fire models of the high interspike-interval variability of cortical neurons. Neural computation. 16 [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, Rauch A, Lüscher HR, Gerstner W. (2006). Predicting spike timing of neocortical pyramidal neurons by simple threshold models. Journal of computational neuroscience. 21 [PubMed]
Kobayashi R, Tsubo Y, Shinomoto S. (2009). Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold. Frontiers in computational neuroscience. 3 [PubMed]
Meffin H, Burkitt AN, Grayden DB. (2004). An analytical model for the "large, fluctuating synaptic conductance state" typical of neocortical neurons in vivo. Journal of computational neuroscience. 16 [PubMed]
Migliore M, Lansky P. (1999). Long-term potentiation and depression induced by a stochastic conditioning of a model synapse. Biophysical journal. 77 [PubMed]
Rudolph M, Destexhe A. (2003). The discharge variability of neocortical neurons during high-conductance states. Neuroscience. 119 [PubMed]
Rudolph M, Destexhe A. (2003). Tuning neocortical pyramidal neurons between integrators and coincidence detectors. Journal of computational neuroscience. 14 [PubMed]