Spike sorting by a minimax reduced feature set based on finite differences

Chien Chang Yen, Wei Chang Shann, Chen Tung Yen, Meng Li Tsai

研究成果: 雜誌貢獻期刊論文同行評審

摘要

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.

原文???core.languages.en_GB???
頁(從 - 到)143-147
頁數5
期刊Journal of Physiological Sciences
59
發行號2
DOIs
出版狀態已出版 - 3月 2009

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