Neural waveform clustering in extracellular recordings

Rishi Chandra, Isaac N. Bankman, David W. Aha

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

Abstract

Unsupervised clustering techniques were investigated to determine their performance in automated template generation for neural waveform analysis in extracellular recordings. Evaluated algorithms included iterative optimization as well as hierarchical techniques.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Conference on Engineering in Medicine and Biology
PublisherPubl by IEEE
Pages342-343
Number of pages2
Editionpt 1
ISBN (Print)0780313771
StatePublished - Dec 1 1993
EventProceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - San Diego, CA, USA
Duration: Oct 28 1993Oct 31 1993

Publication series

NameProceedings of the Annual Conference on Engineering in Medicine and Biology
Numberpt 1
Volume15
ISSN (Print)0589-1019

Other

OtherProceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CitySan Diego, CA, USA
Period10/28/9310/31/93

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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  • Cite this

    Chandra, R., Bankman, I. N., & Aha, D. W. (1993). Neural waveform clustering in extracellular recordings. In Proceedings of the Annual Conference on Engineering in Medicine and Biology (pt 1 ed., pp. 342-343). (Proceedings of the Annual Conference on Engineering in Medicine and Biology; Vol. 15, No. pt 1). Publ by IEEE.