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:10.1162/089976601300014321

Markdown

[van Rossum. "A Novel Spike Distance." Neural Computation, 2001.](https://mlanthology.org/neco/2001/vanrossum2001neco-novel/) doi:10.1162/089976601300014321

BibTeX

@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/}
}