Chacron MJ, Lindner B, Longtin A. (2007). Threshold fatigue and information transfer. Journal of computational neuroscience. 23 [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]
Lánský P, Greenwood PE. (2005). Optimal signal estimation in neuronal models. Neural computation. 17 [PubMed]
Lüdtke N, Nelson ME. (2006). Short-term synaptic plasticity can enhance weak signal detectability in nonrenewal spike trains. Neural computation. 18 [PubMed]
Mensi S et al. (2012). Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms. Journal of neurophysiology. 107 [PubMed]
Muller E, Buesing L, Schemmel J, Meier K. (2007). Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories. Neural computation. 19 [PubMed]
Ovsepian SV et al. (2013). A defined heteromeric KV1 channel stabilizes the intrinsic pacemaking and regulates the output of deep cerebellar nuclear neurons to thalamic targets. The Journal of physiology. 591 [PubMed]
Richard A, Orio P, Tanré E. (2018). An integrate-and-fire model to generate spike trains with long-range dependence Journal of Computational Neuroscience.
St-Hilaire M, Longtin A. (2004). Comparison of coding capabilities of Type I and Type II neurons. Journal of computational neuroscience. 16 [PubMed]