Spike sorting by a minimax reduced feature set based on finite differences
Journal
Journal of Physiological Sciences
Journal Volume
59
Journal Issue
2
Pages
143-147
Date Issued
2009
Author(s)
Abstract
Spikes are classified according to their finite differences in various orders. The fundamental idea that makes it work is that finite differences can extract and isolate features from spikes. This method showed better sorting quality and involved less labor than the methods of principal component analysis, original reduced feature set, and wavelet-based spike classifiers.
SDGs
Type
journal article