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Spike sorting using locality preserving projection with gap statistics and landmark-based spectral clustering

journal contribution
posted on 2014-12-30, 00:00 authored by Thanh Thi NguyenThanh Thi Nguyen, Abbas KhosraviAbbas Khosravi, Douglas CreightonDouglas Creighton, Saeid Nahavandi
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.

History

Journal

Journal of neuroscience methods

Volume

238

Pagination

43 - 53

Publisher

Elsevier BV

Location

Amsterdam, Netherlands

ISSN

0165-0270

eISSN

1872-678X

Language

eng

Publication classification

C Journal article; C1 Refereed article in a scholarly journal

Copyright notice

2014, Elsevier BV