Detection and Classification of Extracellular Action Potential Recordings

Statistical Signal Processing for Neuroscience and Neurotechnology

Volumn , Issue , 2010, Pages 15-74

  Oweiss, Karim ^a   Aghagolzadeh, Mehdi ^a  

^a Michigan State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84855205385     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-0-12-375027-3.00002-8     Document Type: Chapter

References (113)

1. Abeles M., Gerstein G. Detecting spatiotemporal firing patterns among simultaneously recorded single neurons. J. Neurophysiol. 1988, 60(3):909-924.
2. Aghagolzadeh M., Eldawlatly S., Oweiss K. Synergistic coding by cortical neuronal ensembles. IEEE Trans. Inf. Theory 2010, 56(2):875-889.
3. Aghagolzadeh M., Oweiss K. Compressed and distributed sensing of neuronal activity for real time spike train decoding. IEEE Trans. Neural Syst. Rehabil. Eng. 2009, 17:116-127.
4. Bankman I.N., Johnson K.O., Schneider W. Optimal detection, classification, and superposition resolution in neural waveform recordings. IEEE Trans. Biomed. Eng. 1993, 40(8):836-841.
5. Bell A.J., Sejnowski T.J. An information-maximization approach to blind separation and blind deconvolution. Neural Comput. 1995, 7(6):1129-1159.
6. Blatt M., Wiseman S., Domany E. Superparamagnetic clustering of data. Phys. Rev. Lett. 1996, 76(18):3251-3254.
7. Bokil H.S., Pesaran B., Andersen R.A., Mitra P.P. A method for detection and classification of events in neural activity. IEEE Trans. Biomed. Eng. 2006, 53(8):1678-1687.
8. Buzsaki G. Large-scale recording of neuronal ensembles. Nat. Neurosci. 2004, 7(5):446-451.
9. Buzsáki G., Geisler C., Henze D.A., Wang X.J. Interneuron diversity series: circuit complexity and axon wiring economy of cortical interneurons. Trends Neurosci. 2004, 27:186-193.
10. Caporale N., Dan Y. Spike timing dependent plasticity: a Hebbian learning rule. Annu. Rev. Neurosci. 2008, 31(1):25-46.
11. Cardoso J.F. Blind signal separation: statistical principles. Proc. IEEE 1998, 86(10):2009-2025.
12. Carmena J.M., Lebedev M.A., Crist R.E., O'Doherty J.E., Santucci D.M., Dimitrov D.F., et al. Learning to control a brain-machine interface for reaching and grasping by primates. PLoS Biol. 2003, 1(2):e2.
13. Chestek C.A., Batista A.P., Santhanam G., Yu B.M., Afshar A., Cunningham J.P., et al. Single-neuron stability during repeated reaching in macaque premotor cortex. J. Neurosci. 2007, 27(40):10742-10750.
14. Churchland M.M., Afshar A., Shenoy K.V. A central source of movement variability. Neuron 2006, 52(6):1085-1096.
15. Cohen M.R., Newsome W.T. Context-dependent changes in functional circuitry in visual area MT. Neuron 2008, 60(1):162-173.
16. Cohen M.R., Newsome W.T. Estimates of the contribution of single neurons to perception depend on timescale and noise correlation. J. Neurosci. 2009, 29(20):6635-6648.
17. Coifman R.R., Wickerhauser M.V. Entropy-based algorithms for best basis selection. IEEE Trans. Inf. Theory 1992, 38(2 Part 2):713-718.
18. Comon P. Independent component analysis, a new concept?. Signal Processing 1994, 36(3):287-314.
19. Csicsvari J., Henze D.A., Jamieson B., Harris K.D., Sirota A., Barthó P., et al. Massively parallel recording of unit and local field potentials with silicon-based electrodes. Am. Physiol. Soc. 2003, 90:1314-1323.
20. Dan Y., Poo M.M. Spike timing-dependent plasticity of neural circuits. Neuron 2004, 44:23-30.
21. Del Marco S., Weiss J., et al. Improved transient signal detection using a wavepacket-based detector with an extended translation-invariant wavelet transform. IEEE Trans. Signal Process 1997, 45(4):841-850.
22. Dempster A.P., Laird N., Rubin D.B. Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. Series B Methodol. 1977, 39(1):1-38.
23. Dinning G.J., Sanderson A.C. Real-time classification of multiunit neural signals using reduced feature sets. IEEE Trans. Biomed. Eng. BME-28 1981, (12):804-812.
24. Donoho D.L. De-noising by soft-thresholding. IEEE Trans. Inf. Theory 1995, 41(3):613-627.
25. Dzakpasu R., Zochowski M. Discriminating different types of synchrony in neural systems. Physica D. 2005, 208:115-122.
26. Eggermont J.J. Function aspects of synchrony and correlation in the auditory nervous system. Concepts Neurosci. 1993, 4(2):105-129.
27. Eldawlatly S., Jin R., Oweiss K. Identifying functional connectivity in large-scale neural ensemble recordings: a multiscale data mining approach. Neural Comput. 2009, 21(2):450-477.
28. 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 1996, 69(2):175-188.
29. Feldman D.E. Synaptic mechanisms for plasticity in neocortex. Annu. Rev. Neurosci. 2009, 32(1):33-55.
30. Fraser G.W., Chase S.M., Whitford A., Schwartz A.B. Control of a brain-computer interface without spike sorting. J. Neural Eng. 2009, 6:055004.
31. Frisch M., Messer H. The use of the wavelet transform in the detection of an unknowntransient signal. IEEE Trans. Inf. Theory 1992, 38(2 Part 2):892-897.
32. Georgopoulos A.P., Schwartz A.B., Kettner R.E. Neuronal population coding of movement direction. Science 1986, 233(4771):1416.
33. Gerstein G.L. Cross correlation measures of unresolved multi-neuron recordings. J. Neurosci. Methods 2000, 100:41-51.
34. Gerstein G.L., Kirkland K.L. Neural assemblies: technical issues, analysis, and modeling. Neural Netw. 2001, 14(6-7):589-598.
35. Gold C., Henze D.A., Koch C., Buzsáki G. On the origin of the extracellular action potential waveform: a modeling study. J. Neurophysiol. 2006, 95(5):3113-3128.
36. Goldberg J.A., Boraud T., Maraton S., Haber S.N., Vaadia E., Bergman H. Enhanced synchrony among primary motor cortex neurons in the 1-methyl-4-phenyl-1, 2, 3, 6-tetrahydropyridine primate model of Parkinson's disease. J. Neurosci. 2002, 22(11):4639.
37. Gozani S.N., Miller J.P. Optimal discrimination and classification of neuronal action potential waveforms from multiunit, multichannel recordings using software-based linear filters. IEEE Trans. Biomed. Eng. 1994, 41(4):358-372.
38. Gray C.M., Maldonado P.E., Wilson M., McNaughton B. Tetrodes markedly improve the reliability and yield of multiple single-unit isolation from multi-unit recordings in cat striate cortex. J. Neurosci. Methods 1995, 63(1-2):43-54.
39. Guillory K.S., Normann R.A. A 100-channel system for real time detection and storage of extracellular spike waveforms. J. Neurosci. Methods 1999, 91(1-2):21-29.
40. Harris K.D., Henze D.A., Csicsvari J., Hirase H., Buzsáki G. Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements. J. Neurophysiol. 2000, 84(1):401-414.
41. Hebb D.O. The Organization of Behavior; A Neuropsychological Theory. 1949, Wiley, New York.
42. Henderson C.R. Best linear unbiased estimation and prediction under a selection model. Biometrics 1975, 31(2):423-447.
43. Hochberg L.R., Serruya M.D., Friehs G.M., Mukand J.A., Saleh M., Caplan A.H., et al. Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature 2006, 442:164-171.
44. Hulata E., Segev R., Ben-Jacob E. A method for spike sorting and detection based on wavelet packets and Shannon's mutual information. J. Neurosci. Methods 2002, 117(1):1-12.
45. Hyvärinen A. Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans. Neural Netw. 1999, 10(3):626-634.
46. Hyvärinen A., Oja E. Independent component analysis: algorithms and applications. Neural Netw. 2000, 13(4-5):411-430.
47. Isaacs R.E., Weber D.J., Schwartz A.B. Work toward real-time control of a cortical neural prothesis. IEEE Trans. Rehabil. Eng. [see also IEEE Trans. Neural Syst. Rehabil.] 2000, 8(2):196-198.
48. Jackson A., Gee V.J., Baker S.N., Lemon R.N. Synchrony between neurons with similar muscle fields in monkey motor cortex. Neuron 2003, 38(1):115-125.
49. Jain A.K., Duin R.P.W., Mao J. Statistical pattern recognition: a review. IEEE Trans. Pattern. Anal. Mach. Intell. 2000, 22(1):4-37.
50. Johnson W., Lindenstrauss J. Extensions of Lipschitz mappings into a Hilbert space. Contemporary Math. 1984, 26(189-206):1-1.1.
51. Jung H.K., Choi J.H., Kim T. Solving alignment problems in neural spike sorting using frequency domain PCA. Neurocomputing 2006, 69:975-978.
52. Principles of Neural Science 2000, McGraw-Hill, New York. fourth ed. E.R. Kandel, J.H. Schwartz, T.M. Jessell (Eds.).
53. Kay S.M. Fundamentals of statistical signal processing: estimation Theory 1993, Prentice-Hall, New Jersey.
54. Kemere C., Santhanam G., Yu B.M., Afshar A., Ryu S.I., Meng T.H., et al. Detecting neural-state transitions using hidden Markov models for motor cortical prostheses. J. Neurophysiol. 2008, 100(4):2441-2452.
55. Kim K.H., Kim S.J. A wavelet-based method for action potential detection from extracellular neural signal recording with low signal-to-noise ratio. IEEE Trans. Biomed. Eng. 2003, 50(8):999-1011.
56. Kim S., McNames J. Automatic spike detection based on adaptive template matching for extracellular neural recordings. J. Neurosci. Methods 2007, 165(2):165-174.
57. Klema V., Laub A. The singular value decomposition: its computation and some applications. IEEE Trans. Autom. Control 1980, 25(2):164-176.
58. Kralik J.D., Dimitrov D.F., Krupa D.J., Katz D.B., Cohen D., Nicolelis M.A. Techniques for long-term multisite neuronal ensemble recordings in behaving animals. Methods 2001, 25(2):121-150.
59. Kringelbach M.L., Jenkinson N., Owen S.L., Aziz T.Z. Translational principles of deep brain stimulation. Nat. Rev. Neurosci. 2007, 8:623-635.
60. Kulkarni S., Bellary S.V. Nonuniform M-band wavepackets for transient signal detection. IEEE Trans. Signal Process 2000, 48(6):1803-1807.
61. Lega B.C., Haipern C.H., Jaggi J.L., Baltuch G.H. Deep brain stimulation in the treatment of refractory epilepsy: update on current data and future directions. Neurobiol Dis. 2010, 38(3):354-360.
62. Lehmkuhle M.J., Bhangoo S.S., Kipke D.R. The electrocorticogram signal can be modulated with deep brain stimulation of the subthalamic nucleus in the hemiparkinsonian rat. J. Neurophysiol. 2009, 102(3):1811-1820.
63. Letelier J.C., Weber P.P. Spike sorting based on discrete wavelet transform coefficients. J. Neurosci. Methods 2000, 101(2):93-106.
64. Lewicki M.S. A review of methods for spike sorting: the detection and classification of neural action potentials. Netw. Comput. Neural Syst. 1998, 9(4):53-78.
65. Liu T.T., Fraser-Smith A.C. Detection of transients in 1/f noise with the undecimated discretewavelet transform. IEEE Trans. Signal Process 2000, 48(5):1458-1462.
66. McGill K.C., Dorfman L.J. High resolution alignment of sampled waveforms. IEEE Trans. BME-31 1984, 462-470.
67. McNaughton B.L., O'Keefe J., Barnes C.A. The stereotrode: a new technique for simultaneous isolation of several single units in the central nervous system from multiple unit records. J. Neurosci. Methods 1983, 8(4):391-397.
68. Moran D.W., Schwartz A.B. Motor cortical representation of speed and direction during reaching. J. Neurophysiol. 1999, 82(5):2676-2692.
69. Nagel S.J., Najm I.M. Deep brain stimulation for epilepsy. Neuromodulation 2009, 12(4):270-280.
70. Nenadic Z., Burdick J.W. Spike detection using the continuous wavelet transform. IEEE Trans. Biomed. Eng. 2005, 52(1):74-87.
71. Neyman J., Pearson E.S. On the problem of the most efficient tests of statistical hypothesis. Philos. Trans. R. Soc. Lond. A 1933, 231:289-337.
72. Normann R.A., Maynard E.M., Rousche P.J., Warren D.J. A neural interface for a cortical vision prosthesis. Vision Res. 1999, 39(15):2577-2587.
73. Obeid I., Nicolelis M.A., Wolf P.D. A multichannel telemetry system for single unit neural recordings. J. Neurosci. Methods 2004, 133(1-2):33-38.
74. Oweiss K.G. Multiresolution analysis of multichannel neural recordings in the context of signal detection, estimation, classification and noise suppression, PhD thesis 2002, University of Michigan, Ann Arbor, MI.
75. Oweiss K.G. A systems approach for data compression and latency reduction in cortically controlled brain machine interfaces. IEEE Trans. Biomed. Eng. 2006, 53(7):1364-1377.
76. Oweiss K.G., Anderson D.J. A new approach to array denoising. Proc. of the IEEE 34th Asilomar Conference on Signals, Systems and Computers 2000, 1403-1407.
77. Oweiss K.G., Anderson D.J. A new technique for blind source separation using subband subspace analysis in correlated multichannel signal environments. Proc. IEEE Int. Conf. Acoust. Speech Signal Process 2001, 2813-2816.
78. Oweiss K.G., Anderson D.J. MASSIT: Multiresolution analysis of signal subspace invariance technique: A novel algorithm for blind source separation. Proc. of the 35th IEEE Asilomar Conf. on Signals, Syst. and Computers 2001, 819-823.
79. Oweiss K.G., Anderson D.J. A multiresolution generalized maximum likelihood approach for the detection of unknown transient multichannel signals in colored noise with unknown covariance. Proc. IEEE Int. Conf. Acoust. Speech Signal Process 2002, vol.3:2993-2996.
80. Oweiss K.G., Anderson D.J. Independent component analysis of multichannel neural recordings at the micro-scale. Proc. of the 2nd Joint IEEE EMBS/BMES Conference 2002, 1:2012-2013.
81. Oweiss K.G., Anderson D.J. Tracking signal subspace invariance for blind separation and classification of nonorthogonal sources in correlated noise. EURASIP J. Adv. Signal Process. 2007 2007.
82. Oweiss K.G., Mason A., Suhail.Y., Kamboh A.M., Thomson K.E. A scalable wavelet transform VLSI architecture for real-time signal processing in high-density intra-cortical implants. IEEE Trans. Circuits Syst. 2007, 54(6):1266-1278.
83. Pal N.R., Bezdek J.C. On cluster validity for the fuzzy c-means model. IEEE Trans. Fuzzy Syst. 1995, 3(3):370-379.
84. Papoulis A., Pillai S.U. Probability, random variables, and stochastic processes 1965, McGraw-Hill, New York.
85. Perkel D.H., Gerstein G.L., Moore G.P. Neuronal spike trains and stochastic point processes. II. Simultaneous spike trains. Biophys. J. 1967, 7(4):419-440.
86. Plonsey R. The active fiber in a volume conductor. IEEE Trans. Biomed. Eng. BME-21 1974, 371-381.
87. Poor H.V. An introduction to signal detection and estimation. Springer Texts in Electrical Engineering 1988, Springer, New York.
88. Quiroga R. What is the real shape of extracellular spikes?. J. Neurosci. Methods 2009, 177(1):194-198.
89. Quiroga R.Q., Nadasdy Z., Ben-Shaul Y. Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering. Neural Comput. 2004, 16(8):1661-1687.
90. Rizzolatti G., Luppino G. The Cortical Motor System. Neuron 2001, 31(6):889-901.
91. Rolls E.T., Treves A., Tovee M.J. The representational capacity of the distributed encoding of information provided by populations of neurons in primate temporal visual cortex. Exp. Brain Res. 1997, 114(1):149-162.
92. Sakamoto K., Mushiake H., Saito N., Aihara K., Yano M., Tanji J. Discharge synchrony during the transition of behavioral goal representations encoded by discharge rates of prefrontal neurons. Cereb Cortex 2008, 18:2036-2045.
93. Serruya M., Hatsopoulos N., Fellows M., Paninski L., Donoghue J. Robustness of neuroprosthetic decoding algorithms. Biol. Cybern. 2003, 88(3):219-228.
94. Serruya M.D., Hatsopoulos N.G., Paninski L., Fellows M.R., Donoghue J.P. Instant neural control of a movement signal. Nature 2002, 416:141-142.
95. Shadlen M.N., Newsome W.T. Noise, neural codes and cortical organization. Curr. Opin. Neurobiol. 1994, 4(4):569-579.
96. Shadlen M.N., Newsome W.T. The variable discharge of cortical neurons: implications for connectivity, computation, and information coding. J. Neurosci. 1998, 18(10):3870-3896.
97. Shoham S., Fellows M.R., Normann R.A. Robust, automatic spike sorting using mixtures of multivariate t-distributions. J. Neurosci. Methods 2003, 127(2):111-122.
98. Sorger B., Dahmen B., Reithler J., Gosseries O., Maudoux A., Laureys S., et al. Another kind of 'BOLD Response': answering multiple-choice questions via online decoded single-trial brain signals. Prog. Brain Res. 2009, 177:275-292.
99. Stosiek C., Garaschuk O., Holthoff K., Konnerth A. In vivo two-photon calcium imaging of neuronal networks. Proc. Natl. Acad. Sci. 2003, 100(12):7319.
100. Suhail Y., Oweiss K. Multiresolution bayesian detection of multiunit extracellular spike waveforms in multichannel neuronal recordings. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2005, 1:141-144.
101. Truccolo W., Hochberg L.R., Donoghue J.P. Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes. Nat Neurosci. 2010, 13(1):105-111.
102. Urkowitz H. Energy detection of unknown deterministic signals. Proc. IEEE 1967, 55(4):523-531.
103. Van Trees H.L. Detection, estimation and modulation theory: optimum array processing 2002, vol. 4. Wiley, New York.
104. Velliste M., Perel S., Spalding M.C., Whitford A.S., Schwartz A.B. Cortical control of a prosthetic arm for self-feeding. Nature 2008, 453(7198):1098-1101.
105. Ventura V. Traditional waveform based spike sorting yields biased rate code estimates. Proc. Natl. Acad. Sci. 2009, 106(17):6921.
106. Ventura V. Spike train decoding without spike sorting. Neural Comput. 2008, 20(4):923-963.
107. Wessberg J., Stambaugh C.R., Kralik J.D., Beck P.D., Laubach M., Chapin J.K., et al. Real-time prediction of hand trajectory by ensembles of cortical neurons in primates. Nature 2000, 408(6810):361-365.
108. Wheeler B.C., Heetderks W.J. A comparison of techniques for classification of multiple neural signals. IEEE Trans. Biomed. Eng. 1982, 29:752-759.
109. Wheeler B.C., Smith S.R. High-resolution alignment of action potential waveforms using cubic spline interpolation. J. Biomed. Eng. 1988, 10(1):47.
110. Wise K.D., Anderson D.J., Hetke J.F., Kipke D.R., Najafi K. Wireless implantable microsystems: high-density electronic interfaces to the nervous system. Proc. IEEE 2004, 92:76-97.
111. Wolf M.T., Burdick J.W. A Bayesian clustering method for tracking neural signals over successive intervals. IEEE Trans. Biomed. Eng. 2009, 56(11):2649-2659.
112. Wood F., Black M.J., Vargas-Irwin C., Fellows M., Donoghue J.P. On the variability of manual spike sorting. IEEE Trans. Biomed. Eng. 2004, 51(6):912-918.
113. Yu S., Huang D., Singer W., Nikolic D. A small world of neuronal synchrony. Cereb Cortex 2008, 18:2891-2901.