References and models cited by this paper | References and models that cite this paper | |||||||||||
Chacron MJ, Lindner B, Longtin A (2007) Threshold fatigue and information transfer. J Comput Neurosci 23:301-11 [Journal] [PubMed] Kobayashi R, Tsubo Y, Shinomoto S (2009) Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold. Front Comput Neurosci 3:9 [Journal] [PubMed]
Lánský P, Greenwood PE (2005) Optimal signal estimation in neuronal models. Neural Comput 17:2240-57 [Journal] [PubMed] Lüdtke N, Nelson ME (2006) Short-term synaptic plasticity can enhance weak signal detectability in nonrenewal spike trains. Neural Comput 18:2879-916 [Journal] [PubMed] Mensi S, Naud R, Pozzorini C, Avermann M, Petersen CC, Gerstner W (2012) Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms. J Neurophysiol 107:1756-75 [Journal] [PubMed]
Muller E, Buesing L, Schemmel J, Meier K (2007) Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories. Neural Comput 19:2958-3010 [Journal] [PubMed] Ovsepian SV, Steuber V, Le Berre M, O'Hara L, O'Leary VB, Dolly JO (2013) A defined heteromeric KV1 channel stabilizes the intrinsic pacemaking and regulates the output of deep cerebellar nuclear neurons to thalamic targets. J Physiol 591:1771-91 [Journal] [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 [Journal]
St-Hilaire M, Longtin A (2004) Comparison of coding capabilities of Type I and Type II neurons. J Comput Neurosci 16:299-313 [Journal] [PubMed] |