A new action potential classifier using 3-Gaussian model fitting

Neurocomputing

Volumn 71, Issue 16-18, 2008, Pages 3631-3634

  Roh, Seong Eun ^a   Choi, Joon Hwan ^b   Kim, Taejeong ^b  

^a SAMSUNG Electronics   (South Korea)

^b Seoul National University   (South Korea)

Author keywords

3 Gaussian model; Action potential classification; Spike sorting

Indexed keywords

ELECTROPHYSIOLOGY; TRELLIS CODES;

3-GAUSSIAN MODEL; ACTION POTENTIAL CLASSIFICATION; ACTION POTENTIALS; EXTRACELLULAR; GAUSSIAN MODEL FITTINGS; GAUSSIAN WAVEFORMS; NEURAL RECORDINGS; NEURAL SIGNAL RECORDINGS; PEAK FITTINGS; PRE-REQUISITES; SPIKE SORTING; WHITE GAUSSIAN NOISES;

NEURAL NETWORKS;

ACTION POTENTIAL; ANALYTICAL ERROR; BAYES THEOREM; COMPUTER PROGRAM; COMPUTER SIMULATION; CONFERENCE PAPER; CURVE FITTING; MATHEMATICAL MODEL; NOISE; NORMAL DISTRIBUTION; PRIORITY JOURNAL; RECORDING; SPIKE;

EID: 56549103103     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2008.04.002     Document Type: Conference Paper

References (16)

1. M. Abeles, and M.H. Goldstein Multispike train analysis Proc. IEEE 65 5 1977 752 773
2. A.F. Atiya Recognition of multiunit neural signals IEEE Trans. Biomed. Eng. 39 1992 723 729
3. I.N. Bankman, K.O. Johnshon, and W. Schneider Optimal detection, classification, and superposition resolution in neural waveform recordings IEEE Trans. Biomed. Eng. 40 3 1993 836 841
4. R. Chandra, and L.M. Optican 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
5. J.H. Choi, Modeling and detecting action potentials from extra-cellular recordings under low signal-to-noise ratio, M.S. Thesis, Seoul National University, 2003, pp. 8-11.
6. E.H. D'Hollander, and G.A. Orban Spike recognition and on-line classification by unsupervised learning system IEEE Trans. Biomed. Eng. 26 5 1979 279 284
7. D. Donoho De-noising by soft-thresholding IEEE Trans. Inform. Theory 41 1995 613 627
8. K. Fukunaga Introduction to Statistical Pattern Recognition 1990 Academic Press New York
9. K. Harris, KlustaKwik spike sorting 〈http://klustakwik.sourceforge. net/〉, 2003.
10. W.J. Heetderks Criteria for multiunit spike separation techniques Biological Cybern. 29 1978 215 220
11. R.F. Jensen The reconstruction of individual spike trains from extracellular multineuron recordings using a neural network emulation program J. Neurosci. Meth. 35 1990 203 213
12. A.K. Kreiter, Ad.M.H.J. Aertsen, and G.L. Gerstein A low-cost single board solution for real-time unsupervised waveform classification of multineuron recordings J. Neurosci. Meth. 30 1989 59 69
13. K. Levenberg A method for the solution of certain problems in least squares Q. Appl. Math. 5 1944 164 168
14. M.S. Lewicki Bayesian modeling and classification of neural signals Neural Comput. 6 1994 1005 1030
15. D. Marquardt An algorithm for least squares estimation of nonlinear parameters SIAM J. Appl. Math. 11 1963 431 441
16. C. Pouzat, O. Mazor, and G. Laurent Using noise signature to optimize spike-sorting and to assess neuronal classification quality J. Neurosci. Meth. 122 2002 43 57