Spike sorting using non parametric clustering via Cauchy Schwartz PDF divergence

Sudhir Rao, Justin C. Sanchez, Seungju Han, Jose C. Principe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

We propose a new method of clustering neural spike waveforms for spike sorting. After detecting the spikes using a threshold detector, we use principal component analysis (PCA) to get the first few PCA components of the data. Clustering on these PCA components is achieved by maximizing the Cauchy Schwartz PDF divergence measure which uses the Parzen window method to non parametrically estimate the pdf of the clusters. Comparison with other clustering techniques in spike sorting like k-means and Gaussian mixture elucidates the superiority of our method in terms of classification results and computational complexity.

Original languageEnglish
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume5
StatePublished - Dec 1 2006
Externally publishedYes
Event2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France
Duration: May 14 2006May 19 2006

Other

Other2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
CountryFrance
CityToulouse
Period5/14/065/19/06

Fingerprint

classifying
Sorting
spikes
Principal component analysis
divergence
principal components analysis
Computational complexity
Detectors
waveforms
estimates

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Acoustics and Ultrasonics

Cite this

Rao, S., Sanchez, J. C., Han, S., & Principe, J. C. (2006). Spike sorting using non parametric clustering via Cauchy Schwartz PDF divergence. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 5). [1661417]

Spike sorting using non parametric clustering via Cauchy Schwartz PDF divergence. / Rao, Sudhir; Sanchez, Justin C.; Han, Seungju; Principe, Jose C.

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 5 2006. 1661417.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Rao, S, Sanchez, JC, Han, S & Principe, JC 2006, Spike sorting using non parametric clustering via Cauchy Schwartz PDF divergence. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. vol. 5, 1661417, 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006, Toulouse, France, 5/14/06.
Rao S, Sanchez JC, Han S, Principe JC. Spike sorting using non parametric clustering via Cauchy Schwartz PDF divergence. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 5. 2006. 1661417
Rao, Sudhir ; Sanchez, Justin C. ; Han, Seungju ; Principe, Jose C. / Spike sorting using non parametric clustering via Cauchy Schwartz PDF divergence. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 5 2006.
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