Neural spike classification utilizing both amplitude and temporal information

Author

Stitt, J.P. ; Gaumond, R.P. ; Frazier, J.L. ; Hanson, F.E.

Author_Institution

Pennsylvania State Univ., University Park, PA, USA

Volume

1

fYear

1999

fDate

1999

Abstract

We discuss an improved neural spike classification technique that augments an amplitude classifier by including temporal information. An approximation of the interspike interval histogram is used in conjunction with the amplitude probability density function to estimate the joint amplitude interval classifier

Keywords

Bayes methods; Gaussian distribution; bioelectric potentials; gamma distribution; medical signal processing; neurophysiology; pattern classification; Bayes classifier; amplitude information; amplitude probability density function; chemoreceptive neurons; discrete Gaussian approximation; gamma PDF; interspike interval histogram approximation; joint amplitude interval classifier; neural spike classification technique; random point process; spike shape; temporal information; Amplitude estimation; Artificial neural networks; Biomedical engineering; Chemical compounds; Extracellular; Histograms; Neurons; Principal component analysis; Probability density function; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint

Conference_Location

Atlanta, GA

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.802488

Filename

802488