Benda J, Herz AV. (2003). A universal model for spike-frequency adaptation. Neural computation. 15 [PubMed]

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References and models cited by this paper
References and models that cite this paper

Gabbiani F, Krapp HG. (2006). Spike-frequency adaptation and intrinsic properties of an identified, looming-sensitive neuron. Journal of neurophysiology. 96 [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 et al. (2008). A benchmark test for a quantitative assessment of simple neuron models. Journal of neuroscience methods. 169 [PubMed]

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]

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]

Komarov M, Bazhenov M. (2016). Linking dynamics of the inhibitory network to the input structure. Journal of computational neuroscience. 41 [PubMed]

Le Franc Y, Le Masson G. (2010). Multiple firing patterns in deep dorsal horn neurons of the spinal cord: computational analysis of mechanisms and functional implications. Journal of neurophysiology. 104 [PubMed]

McKinnon ML et al. (2019). Dramatically Amplified Thoracic Sympathetic Postganglionic Excitability and Integrative Capacity Revealed with Whole-Cell Patch-Clamp Recordings. eNeuro. 6 [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]

Muresan RC, Savin C. (2007). Resonance or integration? Self-sustained dynamics and excitability of neural microcircuits. Journal of neurophysiology. 97 [PubMed]

Muscinelli SP, Gerstner W, Schwalger T. (2019). How single neuron properties shape chaotic dynamics and signal transmission in random neural networks. PLoS computational biology. 15 [PubMed]

Naundorf B, Geisel T, Wolf F. (2005). Action potential onset dynamics and the response speed of neuronal populations. Journal of computational neuroscience. 18 [PubMed]

Rössert C, Moore LE, Straka H, Glasauer S. (2011). Cellular and network contributions to vestibular signal processing: impact of ion conductances, synaptic inhibition, and noise. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]

Rössert C, Solinas S, D'Angelo E, Dean P, Porrill J. (2014). Model cerebellar granule cells can faithfully transmit modulated firing rate signals. Frontiers in cellular neuroscience. 8 [PubMed]

Sherman AS, Ha J. (2017). How Adaptation Makes Low Firing Rates Robust. Journal of mathematical neuroscience. 7 [PubMed]

Teka W, Marinov TM, Santamaria F. (2014). Neuronal spike timing adaptation described with a fractional leaky integrate-and-fire model. PLoS computational biology. 10 [PubMed]

Tripp BP, Eliasmith C. (2010). Population models of temporal differentiation. Neural computation. 22 [PubMed]

Venkadesh S et al. (2018). Evolving Simple Models of Diverse Intrinsic Dynamics in Hippocampal Neuron Types. Frontiers in neuroinformatics. 12 [PubMed]

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