Universal Statistical Behavior of Neural Spike Trains
Biological Physics
2009-10-31 v1 Disordered Systems and Neural Networks
q-bio
Abstract
We construct a model that predicts the statistical properties of spike trains generated by a sensory neuron. The model describes the combined effects of the neuron's intrinsic properties, the noise in the surrounding, and the external driving stimulus. We show that the spike trains exhibit universal statistical behavior over short times, modulated by a strongly stimulus-dependent behavior over long times. These predictions are confirmed in experiments on H1, a motion-sensitive neuron in the fly visual system.
Cite
@article{arxiv.physics/9801026,
title = {Universal Statistical Behavior of Neural Spike Trains},
author = {N. Brenner and O. Agam and W. Bialek and R. de Ruyter van Steveninck},
journal= {arXiv preprint arXiv:physics/9801026},
year = {2009}
}
Comments
7 pages, 4 figures