A Simple Model of Long-Term Spike Train Regularization

DOI10.1162/08997660260028629zbMath1010.92012OpenAlexW2081117504WikidataQ74343583 ScholiaQ74343583MaRDI QIDQ3150008

Relly Brandman, Mark E. Nelson

Publication date: 21 May 2003

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/08997660260028629

zbMATH Keywords

dynamic spike thresholdlinear adaptive threshold model

Mathematics Subject Classification ID

Neural biology (92C20)

Related Items (4)

A dynamic spike threshold with correlated noise predicts observed patterns of negative interval correlations in neuronal spike trains ⋮ Modeling of Synchronized Bursting Events: The Importance of Inhomogeneity ⋮ Interspike Interval Correlations, Memory, Adaptation, and Refractoriness in a Leaky Integrate-and-Fire Model with Threshold Fatigue ⋮ Short-Term Synaptic Plasticity Can Enhance Weak Signal Detectability in Nonrenewal Spike Trains

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