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Feature Extraction using First and Second Derivative Extrema (FSDE), for Real-time and Hardware-Efficient Spike Sorting

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Title: Feature Extraction using First and Second Derivative Extrema (FSDE), for Real-time and Hardware-Efficient Spike Sorting
Authors: Paraskevopoulou, SE
Barsakcioglu, D
Saberi, M
Eftekhar, A
Constandinou, TG
Item Type: Journal Article
Issue Date: 30-Apr-2013
URI: http://hdl.handle.net/10044/1/10996
DOI: http://dx.doi.org/10.1016/j.jneumeth.2013.01.012
ISSN: 0165-0270
Publisher: Elsevier
Start Page: 29
End Page: 37
Journal / Book Title: Journal of Neuroscience Methods
Volume: 215
Issue: 1
Copyright Statement: © 2013 Elsevier B.V. All rights reserved. NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Neuroscience. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Neuroscience, Vol. 215, Issue 1, (2013) DOI 10.1016/j.jneumeth.2013.01.012
Publication Status: Published
Publisher URL: http://www.elsevier.com/
Appears in Collections:Electrical and Electronic Engineering