@inproceedings{faf7db3bdc664f478725e19fa9e35e72,
title = "Optimal recognition of neural waveforms",
abstract = "An optimal approach is presented for the detection and classification of neural spikes as well as resolution of their superpositions. It is shown that the optimal methods which are based on Bayesian classification, perform at the theoretically expected level in simulations with physiological neural spikes and neural noise. The optimal performance is obtained by using a whitening filter that eliminates the autocorrelation in neural noise. The performance remained above 90% correct when the SNR was as low as 2.",
author = "Bankman, {Isaac N.} and Johnson, {Kenneth O.} and Wolfger Schneider",
year = "1991",
month = dec,
day = "1",
language = "English (US)",
isbn = "0780302168",
series = "Proceedings of the Annual Conference on Engineering in Medicine and Biology",
publisher = "Publ by IEEE",
number = "pt 1",
pages = "409--410",
booktitle = "Proceedings of the Annual Conference on Engineering in Medicine and Biology",
edition = "pt 1",
note = "Proceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 31-10-1991 Through 03-11-1991",
}