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.

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Title Spike sorting using locality preserving projection with gap statistics and landmark-based spectral clustering
Author(s) Nguyen,TORCID iD for Nguyen,T orcid.org/0000-0001-9709-1663
Khosravi,AORCID iD for Khosravi,A orcid.org/0000-0001-6927-0744
Creighton,DORCID iD for Creighton,D orcid.org/0000-0002-9217-1231
Nahavandi,SORCID iD for 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

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