Recognition of Multiunit Neural Signals

IEEE Transactions on Biomedical Engineering

Volumn 39, Issue 7, 1992, Pages 723-729

  Atiya, Amir F ^a  

^a QANTXX Corp ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL ENGINEERING--BIOELECTRICAL PHENOMENA; BIOMEDICAL EQUIPMENT--MICROELECTRODES;

MULTIUNIT NEURAL SIGNALS; NEURONS;

BIOMEDICAL ENGINEERING;

ANALYTICAL ERROR; ARTICLE; CELL INTERACTION; CLASSIFICATION; INFORMATION PROCESSING; MICROELECTRODE; NERVE CONDUCTION; SIGNAL PROCESSING; SPIKE WAVE;

ACTION POTENTIALS; ALGORITHMS; BIAS (EPIDEMIOLOGY); CLASSIFICATION; EVALUATION STUDIES; MOTOR NEURONS; PROBABILITY LEARNING; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 0026884847     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/10.142647     Document Type: Article

References (19)

1. G. Gerstein and W. Clarke, “Simultaneous studies of firing patterns in several neurons,” Science, vol. 143, pp. 1325–1327, 1964.
2. M. Abeles and M. Goldstein, “Multispike train analysis,” Proc. IEEE, vol. 65, pp. 762–773, 1977.
3. D. Mishelevich, “On-line real-time digital computer separation of extracellular neuroelectric signals,” IEEE Trans. Biomed. Eng., vol. BME-17, pp. 147–150, 1970.
4. G. Dinning and A. Sanderson, “Real-time classification of multiunit neural signals using reduced feature sets,” IEEE Trans. Biomed. Eng., vol. BME-28, pp. 804–812, 1981.
5. V. Prochazka and H. Komhuber, “On-line multiunit sorting with resolution of superposition potentials,” Electroenceph. din. Neurophysiol., vol. 34, pp. 91–93, 1973.
6. E. D’Hollander and G. Orban, “Spike recognition and on-line classification by unsupervised learning system,” IEEE Trans. Biomed. Eng., vol. BME-26, pp. 279–284, 1979.
7. W. Roberts, “Optimal recognition of neuronal waveforms,” Biol. Cybernet., vol. 35, pp. 73–80, 1979.
8. W. Roberts and D. Hartline, “Separation of multi-unit nerve impulse trains by a multi-channel linear filter algorithm,” Brain Res., vol. 94, pp. 141–149, 1975.
9. R. Stein, S. Andreassen, and M. Oguztoreli, “Mathematical analysis of optimal multichannel filtering for nerve signals,” Biol. Cybern., vol. 32, pp. 19–24, 1979.
10. R. Millecchia and T. McIntyre, “Automatic nerve impulse identification and separation,” Comput. Biomed. Res., vol. 11, pp. 459–468, 1978.
11. J. Dill, P. Lockemann, and K. Naka, “An attempt to analyze multiunit recordings,” Electroenceph. clin. Neurophysiol., vol. 28, pp. 79–82, 1970.
12. R. O’Connell, W. Kocsis, and R. Schoenfeld, “Minicomputer identification and time of nerve impulses mixed in a single recording channel,” Proc. IEEE, vol. 61, pp. 1615–1621, 1973.
13. X. Yang and S. Shamma, “A totally automated system for the detection and classification of neural spikes,” IEEE Trans. Biomed. Eng., vol. BME-35, pp. 806–816, 1988.
14. Y.-F. Wong, J. Banik, and J. Bower, “Neural networks for template matching: Application to real-time classification of action potentials of real neurons,” in Neural Information Processing Systems, D. Anderson, Ed. New York: Amer. Inst. Phys. 1987, pp. 103–113.
15. B. Wheeler and W. Heetderks, “A comparison of techniques for classification of multiple neural signals,” IEEE Trans. Biomed. Eng., vol. BME-29, pp. 752–759, 1982.
16. E. Schmidt, “Computer separation of multi-unit neuroelectric data: A review,” J. Neurosci. Methods, vol. 12, pp. 95–111, 1984.
17. A. Atiya, “Learning algorithms for neural networks,” Ph.D. dissertation, Caltech, CA 1991.
18. R. Duda and P. Hart, Pattern Classification and Scene Analysis. New York: Wiley, 1973.
19. R. LeFever and C. De Luca, “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.