Spike sorting based on shape, phase, and distribution features, and K-TOPS clustering with validity and error indices
نویسندگان
چکیده
منابع مشابه
Automated spike sorting algorithm based on Laplacian eigenmaps and k-means clustering.
This study presents a new automatic spike sorting method based on feature extraction by Laplacian eigenmaps combined with k-means clustering. The performance of the proposed method was compared against previously reported algorithms such as principal component analysis (PCA) and amplitude-based feature extraction. Two types of classifier (namely k-means and classification expectation-maximizati...
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ژورنال
عنوان ژورنال: Scientific Reports
سال: 2018
ISSN: 2045-2322
DOI: 10.1038/s41598-018-35491-4