A 100-channel system for real time detection and storage of extracellular spike waveforms

Journal of Neuroscience Methods

Volumn 91, Issue 1-2, 1999, Pages 21-29

  Guillory, K S ^a   Normann, R A ^a  

^a Interfaces   (United States)

Author keywords

Acquisition; Electrode; Extracellular; Multi channel; Real time; Spikes

Indexed keywords

ACTION POTENTIAL; ALGORITHM; ARTICLE; CELL POPULATION; ELECTRODE; EXTRACELLULAR MATRIX; MULTICHANNEL RECORDER; PRIORITY JOURNAL; REAL TIME ECHOGRAPHY; SIGNAL PROCESSING; SPIKE WAVE;

ACTION POTENTIALS; ANIMALS; CATS; PRIMATES; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE DESIGN; TIME FACTORS; TURTLES; VISUAL CORTEX;

EID: 0032888084     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0270(99)00076-X     Document Type: Article

References (24)

1. Abeles M., Goldstein M.H. Multispike train analysis. Proc. IEEE. 65(5):1977;752-773.
2. Atiya A.F. Recognition of multiunit neural signals. IEEE Trans. Biomed. Eng. 39:1992;723-729.
3. Bankman I.N., Johnson K.O., Schneider W. Optimal detection, classification, and superposition resolution in neural waveform recordings. IEEE Trans. Biomed. Eng. 40(8):1993;836-841.
4. Bergman H., DeLong M.R. A personal computer-based spike detector and sorter: implementation and evaluation. J. Neurosci. Methods. 41(3):1992;187-197.
5. Chandra R., Optican L.M. Detection, classification, and superposition resolution of action potentials in multiunit single-channel recordings by an on-line real-time neural network. IEEE Trans. Biomed. Eng. 44(5):1997;403-412.
6. Fee M.S., Mitra P.P. On the variability of extracellular spike waveforms of cortical neurons. J. Neurophys. 76(3):1996;3823-3833.
7. Fee M.S., Mitra P.P., Kleinfeld D. Automatic sorting of multiple unit neuronal signals in the presence of anisotropic and non-Gaussian variability. J. Neurosci. Methods. 69:1996;175-188.
8. Forster C., Handwerker H.O. Automatic classification and analysis of microneurographic spike data using a PC/AT. J. Neurosci. Methods. 31(2):1990;109-118.
9. Gadicke R., Albus K. Performance of real time separation of multi-neuron recordings with a DSP32C microprocessor. J. Neurosci. Methods. 75(2):1997;187-192.
10. Gozani S.N., Miller J.P. Optimal discrimination and classification of neuronal action-potential wave-forms from multiunit, multichannel recordings using software-based linear filters. IEEE Trans. Biomed. Eng. 41(4):1994;358-372.
11. Hoogerwerf A.C., Wise K.D. A three-dimensional microelectrode array for chronic neural recording. IEEE Trans. Biomed. Eng. 41(12):1994;1136-1146.
12. Jansen R.F., Ter Maat A. Automatic wave form classification of extracellular multineuron recordings. J. Neurosci. Methods. 41:1992;123-132.
13. Jones K.E., Campbell P.K., Normann R.A. A glass/silicon composite intracortical electrode array. Ann. Biomed. Eng. 20(4):1992;423-437.
14. Kreiter A.K., Aertsen A.M., Gerstein G.L. A low-cost single-board solution for real-time, unsupervised waveform classification of multineuron recordings. J. Neurosci. Meth. 30(1):1989;59-69.
15. Lewicki M.S. Bayesian modeling and classification of neural signals. Neural Comput. 6(5):1994;1005-1030.
16. Meister M., Pine J., Baylor D.A. Multi-neuronal signals from the retina: acquisition and analysis. J. Neurosci. Methods. 51(1):1994;95-106.
17. Mirfakhraei K., Horch K. Classification of action potentials in multi-unit intrafascicular recordings using neural network pattern-recognition techniques. IEEE Trans. Biomed. Eng. 41(1):1994;89-91.
18. Nicolelis M.A., Ghazanfar A.A., Faggin B.M., Votaw S., Oliveira L.M. Reconstructing the engram: simultaneous, multisite, many single neuron recordings. Neuron. 18:1997;529-537.
19. Oghalai J.S., Street W.N., Rhode W.S. A neural network-based spike discriminator. J. Neurosci. Methods. 54:1994;9-22.
20. Peterson B.E., Merzenich M.M. EXP: a Macintosh program for automating data acquisition and analysis applied to neurophysiology. J. Neurosci. Methods. 57:1995;121-131.
21. Poindessault J.P., Beauquin C., Gaillard F. Stimulation, data acquisition, spikes detection and time/rate analysis with a graphical programming system: an application to vision studies. J. Neurosci. Methods. 59(2):1995;225-235.
22. Sarna M.F., Gochin P., Kaltenbach J., Salganicoff M., Gerstein G.L. Unsupervised waveform classification for multi-neuron recordings: a real-time, software-based system. II, Performance comparison to other sorters. J. Neurosci. Methods. 25(3):1988;189-196.
23. Schmidt E.M. Computer separation of multi-unit neuroelectric data: a review. J. Neurosci. Methods. 12:1984;95-111.
24. Yang X., Shamma S.A. A totally automated system for detection and classification of neural spikes. IEEE Trans. Biomed. Eng. 35(10):1988;806-816.