메뉴 건너뛰기




Volumn 40, Issue 8, 1993, Pages 836-841

Optimal Detection, Classification, and Superposition Resolution in Neural Waveform Recordings

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL EXPERIMENT; ARTICLE; CLASSIFICATION; FILTER; MICROELECTRODE; MONKEY; NERVE CELL; NONHUMAN; SIGNAL DETECTION; SIGNAL NOISE RATIO; SOMATOSENSORY CORTEX; WAVEFORM;

EID: 0027722930     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/10.238472     Document Type: Article
Times cited : (91)

References (23)
  • 1
    • 0015546508 scopus 로고
    • On-line multiunit sorting with resolution of superposition potentials
    • V. J. Prochazka and H. H. Kornhuber, “On-line multiunit sorting with resolution of superposition potentials,” Electroencephalogr. Clin. Neurophysiol., vol. 34, pp. 91–93, 1973.
    • (1973) Electroencephalogr. Clin. Neurophysiol. , vol.34 , pp. 91-93
    • Prochazka, V.J.1    Kornhuber, H.H.2
  • 2
    • 0017485225 scopus 로고
    • Multispike train analysis
    • M. Abeles and M. H. Goldstein, “Multispike train analysis,” in Proc. IEEE. vol. 65, pp. 762–773, 1977.
    • (1977) Proc. IEEE , vol.65 , pp. 762-773
    • Abeles, M.1    Goldstein, M.H.2
  • 3
    • 0018097480 scopus 로고
    • Criteria for evaluating multiunit spike separation techniques
    • W. J. Heetderks, “Criteria for evaluating multiunit spike separation techniques,” Biol. Cybernetics, vol. 29, pp. 215–220. 1978.
    • (1978) Biol. Cybernetics , vol.29 , pp. 215-220
    • Heetderks, W.J.1
  • 4
    • 0018654779 scopus 로고
    • Spike recognition and on-line classification by unsupervised learning system
    • E. H. D'Hollander and G. A. Orban, “Spike recognition and on-line classification by unsupervised learning system,” IEEE Trans. Biomed Eng., vol. BME-26. pp. 279–284, 1979.
    • (1979) IEEE Trans. Biomed Eng. , vol.BME-26 , pp. 279-284
    • D'Hollander, E.H.1    Orban, G.A.2
  • 5
    • 0019226909 scopus 로고
    • A microprocessor-based instrument for neural pulse wave analysis
    • G. K. Kojima and F. Bracchi, “A microprocessor-based instrument for neural pulse wave analysis,” IEEE Trans. Biomed. Eng., vol. BME-27, pp. 515–519, 1980.
    • (1980) IEEE Trans. Biomed. Eng. , vol.BME-27 , pp. 515-519
    • Kojima, G.K.1    Bracchi, F.2
  • 6
    • 0019728513 scopus 로고
    • Real-time classification of multiunit neural signals using reduced feature sets
    • G. J. Dinning and A. C. Sanderson. “Real-time classification of multiunit neural signals using reduced feature sets.” IEEE Trans. Biomed. Eng., vol. BME-28, pp. 804–812, 1981.
    • (1981) IEEE Trans. Biomed. Eng. , vol.BME-28 , pp. 804-812
    • Dinning, G.J.1    Sanderson, A.C.2
  • 7
    • 0020331165 scopus 로고
    • A comparison of techniques for classification of multiple neural signals
    • B. C. Wheeler and W. J. Hetderks, “A comparison of techniques for classification of multiple neural signals,” IEEE Trans. Biomed. Eng., vol. BME-29, pp. 752–759, 1982.
    • (1982) IEEE Trans. Biomed. Eng. , vol.BME-29 , pp. 752-759
    • Wheeler, B.C.1    Hetderks, W.J.2
  • 8
    • 0019999705 scopus 로고
    • A procedure for decomposing the myoelectric signal into its constituent action potentials—Part i: Technique, theory and implementation
    • R. S. LeFever and C. J. DeLuca, “A procedure for decomposing the myoelectric signal into its constituent action potentials—Part i: Technique, theory and implementation,” IEEE Trans. Biomed. Eng., vol. BME-29, pp. 149–157, 1982.
    • (1982) IEEE Trans. Biomed. Eng. , vol.BME-29 , pp. 149-157
    • LeFever, R.S.1    DeLuca, C.J.2
  • 9
    • 0021286283 scopus 로고
    • High resolution alignment of sampled waveforms
    • K. C. McGill and L. J. Dorfman, “High resolution alignment of sampled waveforms,” IEEE Trans. Biomed. Eng., vol. BME-31, pp. 462–468. 1984.
    • (1984) IEEE Trans. Biomed. Eng. , vol.BME-31 , pp. 462-468
    • McGill, K.C.1    Dorfman, L.J.2
  • 10
    • 0021394014 scopus 로고
    • An algorithm for sequential signal estimation and system identification for EMG signals
    • R. M Studer, R. J. P. DeFigueircdo, and G. S. Moschytz, “An algorithm for sequential signal estimation and system identification for EMG signals,” IEEE Trans. Biomed. Eng., vol. BME-31, pp. 285–295, 1984.
    • (1984) IEEE Trans. Biomed. Eng. , vol.BME-31 , pp. 285-295
    • Studer, R.M.1    DeFigueircdo, R.J.P.2    Moschytz, G.S.3
  • 11
    • 0021688299 scopus 로고
    • Computer separation of multi–unit netiroclectric data: A review
    • E. M. Schmidt. “Computer separation of multi–unit netiroclectric data: A review,” J. Neurosci. Meth., vol. 12, pp. 95–111, 1984.
    • (1984) J. Neurosci. Meth. , vol.12 , pp. 95-111
    • Schmidt, E.M.1
  • 12
    • 0023384683 scopus 로고
    • Intelligent software for spike separation on multiunit recordings
    • J. F. Vibert, J. N. Albert and J. Costa, “Intelligent software for spike separation on multiunit recordings,” Med. Biol. Eng. Comput., vol. 25, pp. 366–372, 1987.
    • (1987) Med. Biol. Eng. Comput. , vol.25 , pp. 366-372
    • Vibert, J.F.1    Albert, J.N.2    Costa, J.3
  • 13
    • 0023680404 scopus 로고
    • Unsupervised waveform classification for multi-neuron recordings: A real-time software-based system. I. Algorithms and implementation
    • M. Salganicoff, M. Sarna, L. Sax, and G. L. Gerstein, “Unsupervised waveform classification for multi-neuron recordings: A real-time software-based system. I. Algorithms and implementation,” J. Neurosci. Meth., vol. 25, pp. 181–187, 1988.
    • (1988) J. Neurosci. Meth. , vol.25 , pp. 181-187
    • Salganicoff, M.1    Sarna, M.2    Sax, L.3    Gerstein, G.L.4
  • 14
    • 0023760074 scopus 로고
    • Unsupervised waveform classification for multi-neuron recordings: A real-time software-based system. II. Performance comparison to other sorters
    • M. F. Sarna, P. Gochin, J. Kaltenbach, M. Salganicoff, and G. L. Gerstein, “Unsupervised waveform classification for multi-neuron recordings: A real-time software-based system. II. Performance comparison to other sorters,” J. Neurosci. Meth., vol. 25, pp. 189–196, 1988.
    • (1988) J. Neurosci. Meth. , vol.25 , pp. 189-196
    • Sarna, M.F.1    Gochin, P.2    Kaltenbach, J.3    Salganicoff, M.4    Gerstein, G.L.5
  • 15
    • 0024095005 scopus 로고
    • A totally automated system for the detection and classification of neural spikes
    • X. Yang and S. A. Shamma, “A totally automated system for the detection and classification of neural spikes,” IEEE Trans. Biomed. Eng., vol. 35, pp. 806–816, 1988.
    • (1988) IEEE Trans. Biomed. Eng. , vol.35 , pp. 806-816
    • Yang, X.1    Shamma, S.A.2
  • 16
    • 0024094424 scopus 로고
    • A real-time multiprocessor system for acquisition of multichannel neural data
    • S. R. Smith and B. C. Wheeler, “A real-time multiprocessor system for acquisition of multichannel neural data,” IEEE Trans. Biomed. Eng., vol. 35, pp. 875–877, 1988.
    • (1988) IEEE Trans. Biomed. Eng. , vol.35 , pp. 875-877
    • Smith, S.R.1    Wheeler, B.C.2
  • 17
    • 0023819025 scopus 로고
    • Automatic decomposition of selective needle-detected myoelectric signals
    • D. Stashuk and H. DeBruin, “Automatic decomposition of selective needle-detected myoelectric signals,” IEEE Trans. Biomed. Eng., vol. 35, pp. 1–10, 1988.
    • (1988) IEEE Trans. Biomed. Eng. , vol.35 , pp. 1-10
    • Stashuk, D.1    DeBruin, H.2
  • 19
    • 33746513806 scopus 로고
    • Neural networks for template matching: Application to real-time classification of the action potentials of real neurons
    • American Institute of Physics, New York
    • Y. Wong, J. Banik, and J. M. Bower, “Neural networks for template matching: Application to real-time classification of the action potentials of real neurons” in Neural Information Processing Systems, American Institute of Physics, New York, pp. 103–113, 1988.
    • (1988) Neural Information Processing Systems , pp. 103-113
    • Wong, Y.1    Banik, J.2    Bower, J.M.3
  • 20
    • 0025134244 scopus 로고
    • Automatic classification and analysis of microneurographic spike data using a PC/AT
    • C. Forster and H. O. Handwerker, “Automatic classification and analysis of microneurographic spike data using a PC/AT,” J. Neurosci. Meth., vol. 31, pp. 109–118, 1990.
    • (1990) J. Neurosci. Meth. , vol.31 , pp. 109-118
    • Forster, C.1    Handwerker, H.O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.