arXiv · 1007.3490
Adaptation Reduces Variability of the Neuronal Population Code
Abstract
Sequences of events in noise-driven excitable systems with slow variables often show serial correlations among their intervals of events. Here, we employ a master equation for general non-renewal processes to calculate the interval and count statistics of superimposed processes governed by a slow adaptation variable. For an ensemble of spike-frequency adapting neurons this results in the regularization of the population activity and an enhanced post-synaptic signal decoding. We confirm our theoretical results in a population of cortical neurons.
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Farzad Farkhooi, Eilif Muller, Martin P. Nawrot. 2010-07-20. Adaptation Reduces Variability of the Neuronal Population Code. https://doi.org/10.1103/physreve.83.050905
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