2014
DOI: 10.1155/2014/757068
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Sparse Data Analysis Strategy for Neural Spike Classification

Abstract: Many of the multichannel extracellular recordings of neural activity consist of attempting to sort spikes on the basis of shared characteristics with some feature detection techniques. Then spikes can be sorted into distinct clusters. There are in general two main statistical issues: firstly, spike sorting can result in well-sorted units, but by with no means one can be sure that one is dealing with single units due to the number of neurons adjacent to the recording electrode. Secondly, the waveform dimensiona… Show more

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Cited by 2 publications
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“…Whatever the causes, signal changes can be significant, reaching 60% of the waveforms as reported by Dickey et al [13]. In prior studies, we had used a multi-scale seriation approach for clustering spike trains [14].…”
Section: Introductionmentioning
confidence: 92%
“…Whatever the causes, signal changes can be significant, reaching 60% of the waveforms as reported by Dickey et al [13]. In prior studies, we had used a multi-scale seriation approach for clustering spike trains [14].…”
Section: Introductionmentioning
confidence: 92%