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Volumn , Issue , 2007, Pages 670-674

Automatic spike sorting for real-time applications

Author keywords

Brain machine interface; Clustering methods; Neural spike sorting; Pattern recognition; Unsupervised classification

Indexed keywords

CLUSTERING ALGORITHMS; DECODING; MICROARRAYS; MICROELECTRODES; PATTERN RECOGNITION; REAL TIME CONTROL; ROBUST CONTROL; SIGNAL TO NOISE RATIO; UNSUPERVISED LEARNING;

EID: 34548726212     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CNE.2007.369761     Document Type: Conference Paper
Times cited : (4)

References (11)
  • 1
    • 0013130627 scopus 로고    scopus 로고
    • A review of methods for spike sorting: The detection and classification of neural action potentials
    • M. S. Lewicki, "A review of methods for spike sorting: the detection and classification of neural action potentials," Network: Comput. Neural. Syst., vol. 9, pp. R53-R78, 1998.
    • (1998) Network: Comput. Neural. Syst , vol.9
    • Lewicki, M.S.1
  • 2
    • 0042626402 scopus 로고    scopus 로고
    • Robust, automatic spike sorting using mixtures of multivariate t-distributions
    • S. Shoham, M. R. Fellows, and R. A. Normann, "Robust, automatic spike sorting using mixtures of multivariate t-distributions," Journal of Neuroscience Methods, vol. 127, pp. 111-122, 2003.
    • (2003) Journal of Neuroscience Methods , vol.127 , pp. 111-122
    • Shoham, S.1    Fellows, M.R.2    Normann, R.A.3
  • 3
    • 0003524533 scopus 로고    scopus 로고
    • Latent variable models for neural data analysis
    • California Institute of Technology, Pasadena
    • M. Sahani, "Latent variable models for neural data analysis," Computation and Neural System, California Institute of Technology, Pasadena, 1999.
    • (1999) Computation and Neural System
    • Sahani, M.1
  • 5
    • 0035383949 scopus 로고    scopus 로고
    • Comparison of optimal and suboptimal spike sorting algorithms to theoretical limits
    • Jun
    • C. M. Gruner and D. H. Johnson, "Comparison of optimal and suboptimal spike sorting algorithms to theoretical limits," Neurocomputing, vol. 38-40, pp. 1663-1669, Jun. 2001.
    • (2001) Neurocomputing , vol.38-40 , pp. 1663-1669
    • Gruner, C.M.1    Johnson, D.H.2
  • 6
    • 0032833758 scopus 로고    scopus 로고
    • Multi-channel spike detection and sorting using an array processing technique
    • Jun
    • S. M. Bierer and D. J. Anderson, "Multi-channel spike detection and sorting using an array processing technique," Neurocomputing, vol. 26-27, pp. 947-956, Jun. 1999.
    • (1999) Neurocomputing , vol.26-27 , pp. 947-956
    • Bierer, S.M.1    Anderson, D.J.2
  • 8
    • 33744474820 scopus 로고    scopus 로고
    • A fully-automated neural spike sorting based on projection pursuit and Gaussian mixture model
    • Arlington, VA, March 16-19
    • K. H. Kim, "A fully-automated neural spike sorting based on projection pursuit and Gaussian mixture model," in IEEE Conf. on Eng. in Med. & Bio., Arlington, VA, March 16-19 2005, pp. 151-154.
    • (2005) IEEE Conf. on Eng. in Med. & Bio , pp. 151-154
    • Kim, K.H.1
  • 10
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomie problems
    • R. A. Fisher, "The use of multiple measurements in taxonomie problems," Annals of Eugenics, vol. 7, pp. 179-188, 1936.
    • (1936) Annals of Eugenics , vol.7 , pp. 179-188
    • Fisher, R.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.