Robust spike classification based on frequency domain neural waveform features.

Abstract

OBJECTIVE We introduce a new spike classification algorithm based on frequency domain features of the spike snippets. The goal for the algorithm is to provide high classification accuracy, low false misclassification, ease of implementation, robustness to signal degradation, and objectivity in classification outcomes. APPROACH In this paper, we propose a… (More)
DOI: 10.1088/1741-2560/10/6/066015

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Cite this paper

@article{Yang2013RobustSC, title={Robust spike classification based on frequency domain neural waveform features.}, author={Chenhui Yang and Yuan Yuan and Jennie Si}, journal={Journal of neural engineering}, year={2013}, volume={10 6}, pages={066015} }