Optimal Detection, Classification, and Superposition Resolution in Neural Waveform Recordings

Isaac N. Bankman, Kenneth O. Johnson, Wolfger Schneider

Research output: Contribution to journalArticlepeer-review

Abstract

The effects of noise autocorrelation on neural waveform recognition (detection, classification, and superposition resolution) are investigated in this study using microelectrode recordings from the cortex of a monkey, Optimal waveform recognition is accomplished by passing the data through a whitening filter before matched filtering for detection or template matching for classification and superposition resolution. Template matching without whitening requires about 40% higher signal-to-noise ratio than template matching with whitening for comparable classification and superposition resolution, The comparable difference for detection is 15%.

Original languageEnglish (US)
Pages (from-to)836-841
Number of pages6
JournalIEEE Transactions on Biomedical Engineering
Volume40
Issue number8
DOIs
StatePublished - Aug 1993

ASJC Scopus subject areas

  • Biomedical Engineering

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