@inproceedings{f85d1be9efb34fc9a3f3bb4e967ace04,
title = "Neural spike classification utilizing both amplitude and temporal information",
abstract = "A neural spike classification technique, which augments an amplitude classifier by including temporal information, is presented. A discrete Gaussian approximation of the Bayes classifier for amplitude classification is used. To reduce the number of misclassifications, the joint amplitude-interval classifier is implemented by fitting a gamma probability density function to each of the interspike interval histograms of each of the reference neurons.",
author = "Stitt, {J. P.} and Gaumond, {R. P.} and Frazier, {J. L.} and Hanson, {F. E.}",
year = "1999",
language = "English (US)",
isbn = "0780356756",
series = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",
publisher = "IEEE",
pages = "411",
booktitle = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",
note = "Proceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) ; Conference date: 13-10-1999 Through 16-10-1999",
}