Noise-robust unsupervised spike sorting based on discriminative subspace learning with outlier handling.

Abstract

OBJECTIVE Spike sorting is a fundamental preprocessing step for many neuroscience studies which rely on the analysis of spike trains. Most of the feature extraction and dimensionality reduction techniques that have been used for spike sorting give a projection subspace which is not necessarily the most discriminative one. Therefore, the clusters which… (More)
DOI: 10.1088/1741-2552/aa6089

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