A Comparison of Techniques for Classification of Multiple Neural Signals

A number ofmultiunit neural signal classification techniques are compared in their theoretical separation properties and in their empirical performance in classifying two channel recordings from the ventral nerve cord of the cockroach. The techniques include: the use of amplitude and conduction time...

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Bibliographic Details
Published inIEEE transactions on biomedical engineering Vol. BME-29; no. 12; pp. 752 - 759
Main Authors Wheeler, Bruce C., Heetderks, William J.
Format Journal Article
LanguageEnglish
Published United States IEEE 01.12.1982
Subjects
Action Potentials
Animals
Biomedical engineering
Cockroaches
Digital filters
Electrodes
Extracellular
Filtering
Male
Matched filters
Methods
Neurons
Neurons - physiology
Pattern classification
Pattern recognition
Time measurement
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Summary:A number ofmultiunit neural signal classification techniques are compared in their theoretical separation properties and in their empirical performance in classifying two channel recordings from the ventral nerve cord of the cockroach. The techniques include: the use of amplitude and conduction time measures, template matching, the principal components method, optimal filtering, and maximin discrimination. The noise encountered under different situations is characterized, permitting the comparisons to be made as functions of the experimental conditions. Recommendations are made as to the appropriate use of the techniques.
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ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.1982.324870