Spike sorting using locality preserving projection with gap statistics and landmark-based spectral clustering Nguyen,T, Khosravi,A, Creighton,D and Nahavandi,S 2014, Spike sorting using locality preserving projection with gap statistics and landmark-based spectral clustering, Journal of neuroscience methods, vol. 238, pp. 43-53, doi: 10.1016/j.jneumeth.2014.09.011. Attached Files Name Description MIMEType Size Downloads Title Spike sorting using locality preserving projection with gap statistics and landmark-based spectral clustering Author(s) Nguyen,T orcid.org/0000-0001-9709-1663 Khosravi,A orcid.org/0000-0001-6927-0744 Creighton,D orcid.org/0000-0002-9217-1231 Nahavandi,S orcid.org/0000-0002-0360-5270 Journal name Journal of neuroscience methods Volume number 238 Start page 43 End page 53 Publisher Elsevier BV Place of publication Amsterdam, Netherlands Publication date 2014-12-30 ISSN 1872-678X 0165-0270 Keyword(s) Feature extraction Gap statistics Landmark-based spectral clustering Locality preserving projection Spike sorting Superparamagnetic clustering Wavelet transformation Science & Technology Life Sciences & Biomedicine Biochemical Research Methods Neurosciences Biochemistry & Molecular Biology Neurosciences & Neurology RECORDINGS CLASSIFICATION Summary Understanding neural functions requires knowledge from analysing electrophysiological data. The process of assigning spikes of a multichannel signal into clusters, called spike sorting, is one of the important problems in such analysis. There have been various automated spike sorting techniques with both advantages and disadvantages regarding accuracy and computational costs. Therefore, developing spike sorting methods that are highly accurate and computationally inexpensive is always a challenge in the biomedical engineering practice. Language eng DOI 10.1016/j.jneumeth.2014.09.011 Field of Research 080108 Neural, Evolutionary and Fuzzy Computation Socio Economic Objective 970109 Expanding Knowledge in Engineering HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2014, Elsevier BV Persistent URL http://hdl.handle.net/10536/DRO/DU:30069971 Document type: Journal Article Collections: Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research Related Links Link Description Connect to Elements publication management system Go to link with your DU access privileges   Connect to published version Go to link with your DU access privileges   Author URL Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 24 Feb 2015, 10:05:44 EST Tue, 24 Feb 2015, 10:06:57 EST Wed, 25 Feb 2015, 04:00:05 EST Wed, 25 Feb 2015, 10:03:58 EST Tue, 03 Mar 2015, 05:06:59 EST Fri, 06 Mar 2015, 10:46:19 EST Filtered Full Citation counts:   Cited 20 times in TR Web of Science Cited 22 times in Scopus Search Google Scholar Access Statistics: 781 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Tue, 24 Feb 2015, 10:06:57 EST