A Novel Spike Distance
Abstract
The discrimination between two spike trains is a fundamental problem for both experimentalists and the nervous system itself. We introduce a measure for the distance between two spike trains. The distance has a time constant as a parameter. Depending on this parameter, the distance interpolates between a coincidence detector and a rate difference counter. The dependence of the distance on noise is studied with an integrate-andfire model. For an intermediate range of the time constants, the distance depends linearly on the noise. This property can be used to determine the intrinsic noise of a neuron.
Cite
Text
van Rossum. "A Novel Spike Distance." Neural Computation, 2001. doi:10.1162/089976601300014321Markdown
[van Rossum. "A Novel Spike Distance." Neural Computation, 2001.](https://mlanthology.org/neco/2001/vanrossum2001neco-novel/) doi:10.1162/089976601300014321BibTeX
@article{vanrossum2001neco-novel,
title = {{A Novel Spike Distance}},
author = {van Rossum, Mark C. W.},
journal = {Neural Computation},
year = {2001},
pages = {751-763},
doi = {10.1162/089976601300014321},
volume = {13},
url = {https://mlanthology.org/neco/2001/vanrossum2001neco-novel/}
}