Cross-channel correlations in tetrode recordings: implications for spike-sorting

We are exploring new methods of spike detection to improve spike-sorting in tetrode recordings. Based on our observation that the four channels of the tetrode carry highly correlated signals, we propose the use of a hyperellipsoidal thresholding surface in the four-dimensional space of the signal va...

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Bibliographic Details
Published in:Neurocomputing (Amsterdam) 1999-06, Vol.26, p.1033-1038
Main Authors: Rebrik, Sergei P, Wright, Brian D, Emondi, Alfred A, Miller, Kenneth D
Format: Article
Language:English
Subjects:
Electrophysiology
Mathematical models
Microelectrodes
Multi-electrode recordings
Neural networks
Neurophysiology
Signal detection
Signal to noise ratio
Spike-sorting
Tetrode
Waveform analysis
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Summary:We are exploring new methods of spike detection to improve spike-sorting in tetrode recordings. Based on our observation that the four channels of the tetrode carry highly correlated signals, we propose the use of a hyperellipsoidal thresholding surface in the four-dimensional space of the signal values to detect spikes. This surface is determined by the cross-channel covariance matrix and provides a better approximation of the equiprobable surface of the noise amplitude distribution compared to the traditionally used hypercubical thresholding surface. This spike detection procedure greatly improves the separation of signal clusters from the noise cluster around the origin. We have extended these approaches to automatic spike-sorting in both amplitude and full waveform spaces.
ISSN:0925-2312
1872-8286
DOI:10.1016/S0925-2312(99)00101-0