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Spike Sorting

Spike sorting is a class of techniques used in the analysis of electrophysiological data. Spike sorting algorithms use the shape(s) of waveforms collected with one or more electrodes in the brain to distinguish the activity of one or more neurons from background electrical noise.

Papers

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Showing 41–50 of 51 papers

TitleStatusHype
Fast and accurate spike sorting of high-channel count probes with KiloSortCode0
Comparison of feature extraction and dimensionality reduction methods for single channel extracellular spike sorting—0
Validation of neural spike sorting algorithms without ground-truth information—0
Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain—0
Deconvolution of High-Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain—0
Unsupervised Spike Sorting Based on Discriminative Subspace Learning—0
The functional mean-shift algorithm for mode hunting and clustering in infinite dimensions—0
Variational Particle Approximations—0
High-dimensional cluster analysis with the Masked EM AlgorithmCode0
On the Analysis of Multi-Channel Neural Spike Data—0
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