Optimal detection, classification, and superposition resolution in neural waveform recordings

@article{Bankman1993OptimalDC,
  title={Optimal detection, classification, and superposition resolution in neural waveform recordings},
  author={I. N. Bankman and K. Johnson and Wolfger Schneider},
  journal={IEEE Transactions on Biomedical Engineering},
  year={1993},
  volume={40},
  pages={836-841}
}
The effects of noise autocorrelation on neural waveform recognition (detection, classification, and superposition resolution) are investigated, 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 (SNR… CONTINUE READING