Title :
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
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;
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
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.802488
