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Volumn 21, Issue 9, 2009, Pages 2466-2501

Automatic Spike Sorting Using Tuning Information

Author keywords

[No Author keywords available]

Indexed keywords

MAXIMUM LIKELIHOOD ESTIMATION; MAXIMUM PRINCIPLE; SORTING;

EID: 66449119273     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2009.12-07-669     Document Type: Article
Times cited : (21)

References (26)
  • 1
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19 (6), 716–723.
    • (1974) IEEE Transactions on Automatic Control , vol.19 , Issue.6 , pp. 716-723
    • Akaike, H.1
  • 2
    • 0036482863 scopus 로고    scopus 로고
    • The time-rescaling theorem and its applications to neural spike train data analysis
    • Brown, B. N., Barbieri, R., Ventura, V., Kass, R. E., & Frank, L. M. (2002). The time-rescaling theorem and its applications to neural spike train data analysis. Neural Computation, 14, 325–346.
    • (2002) Neural Computation , vol.14 , pp. 325-346
    • Brown, B. N.1    Barbieri, R.2    Ventura, V.3    Kass, R. E.4    Frank, L. M.5
  • 3
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm (with discussion)
    • Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm (with discussion). J. Royal Statistical Society B, 39(1), 138.
    • (1977) J. Royal Statistical Society B , vol.39 , Issue.1 , pp. 138
    • Dempster, A. P.1    Laird, N. M.2    Rubin, D. B.3
  • 4
    • 0030480277 scopus 로고    scopus 로고
    • Variability of extracellular spike waveforms of cortical neurons
    • Fee, M. S., Mitra, P. P., & Kleinfeld, D. (1996). Variability of extracellular spike waveforms of cortical neurons. J. Neurophysiol, 76, 3823–3833.
    • (1996) J. Neurophysiol , vol.76 , pp. 3823-3833
    • Fee, M. S.1    Mitra, P. P.2    Kleinfeld, D.3
  • 5
    • 0036522404 scopus 로고    scopus 로고
    • Unsupervised learning of finite mixture models: Pattern Analysis and Machine Intelligence
    • Figueiredo, M. A. F., & Jain, A. K. (2002). Unsupervised learning of finite mixture models: Pattern Analysis and Machine Intelligence. IEEE Transactions, 24, 381– 396.
    • (2002) IEEE Transactions , vol.24 , pp. 381-396
    • Figueiredo, M. A. F.1    Jain, A. K.2
  • 6
    • 0033928411 scopus 로고    scopus 로고
    • Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements
    • Harris, K. D., Henze, D. A., Csicsvari, J., Hirase, H., & Buzsaki, G. (2000). Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements. J. Neurophysiol., 84, 401–414.
    • (2000) J. Neurophysiol , vol.84 , pp. 401-414
    • Harris, K. D.1    Henze, D. A.2    Csicsvari, J.3    Hirase, H.4    Buzsaki, G.5
  • 8
    • 38049135335 scopus 로고
    • Another interpretation of the EM algorithm for mixture distributions
    • Hathaway, R. J. (1986). Another interpretation of the EM algorithm for mixture distributions. Stat. Prob. Lett., 4, 53–56.
    • (1986) Stat. Prob. Lett , vol.4 , pp. 53-56
    • Hathaway, R. J.1
  • 9
    • 21544439557 scopus 로고    scopus 로고
    • Statistical issues in the analysis of neuronal data
    • Kass, R. E., Ventura, V., & Brown, E. N. (2005). Statistical issues in the analysis of neuronal data. J. Neurophysiology, 94, 8–25.
    • (2005) J. Neurophysiology , vol.94 , pp. 8-25
    • Kass, R. E.1    Ventura, V.2    Brown, E. N.3
  • 10
    • 0000960284 scopus 로고
    • Bayesian modeling and classification of neural signals
    • Lewicki, M. S. (1994). Bayesian modeling and classification of neural signals. Neural Computation, 6(5), 1005–1030.
    • (1994) Neural Computation , vol.6 , Issue.5 , pp. 1005-1030
    • Lewicki, M. S.1
  • 11
    • 0013130627 scopus 로고    scopus 로고
    • A review of methods for spike sorting: The detection and classification of neural action potential
    • Lewicki, M. S. (1998). A review of methods for spike sorting: The detection and classification of neural action potential. Network: Comput. Neural Syst., 9, R53– R78.
    • (1998) Network: Comput. Neural Syst , vol.9 , pp. R53-R78
    • Lewicki, M. S.1
  • 14
    • 0029991104 scopus 로고    scopus 로고
    • A neural network approach to real-time spike discrimination during simultaneous recording from several multi-unit nerve filaments
    • Ohberg, F., Johansson, H., Bergenheim, M., Pedersen, J., & Djupsjobacka, M. (1996). A neural network approach to real-time spike discrimination during simultaneous recording from several multi-unit nerve filaments. J. Neurosci. Methods, 64(2), 181–187.
    • (1996) J. Neurosci. Methods , vol.64 , Issue.2 , pp. 181-187
    • Ohberg, F.1    Johansson, H.2    Bergenheim, M.3    Pedersen, J.4    Djupsjobacka, M.5
  • 15
    • 0033817765 scopus 로고    scopus 로고
    • Neuronal activity in macaque supplementary eye field during planning of saccades in response to pattern and spatial cues
    • Olson, C. R., Gettner, S. N., Ventura, V., Carta, R., & Kass, R. E. (2000). Neuronal activity in macaque supplementary eye field during planning of saccades in response to pattern and spatial cues. J. Neurophysiol., 84, 1369–1384.
    • (2000) J. Neurophysiol , vol.84 , pp. 1369-1384
    • Olson, C. R.1    Gettner, S. N.2    Ventura, V.3    Carta, R.4    Kass, R. E.5
  • 16
    • 2442479355 scopus 로고    scopus 로고
    • Improved spike-sorting by modeling firing statistics and burst-dependent spike amplitude attenuation: A Markov chain Monte Carlo approach
    • Pouzat, C., Delescluse, M., Voit, P., & Diebolt, J. (2004). Improved spike-sorting by modeling firing statistics and burst-dependent spike amplitude attenuation: A Markov chain Monte Carlo approach. J. Neurophysiol., 91(6), 2910–2928.
    • (2004) J. Neurophysiol , vol.91 , Issue.6 , pp. 2910-2928
    • Pouzat, C.1    Delescluse, M.2    Voit, P.3    Diebolt, J.4
  • 17
    • 18244378520 scopus 로고    scopus 로고
    • On Bayesian analysis of mixtures with unknown number of components
    • Richardson, S., & Green, P. (1997). On Bayesian analysis of mixtures with unknown number of components. J. Royal Statistical Society B 59, 731–792.
    • (1997) J. Royal Statistical Society B , vol.59 , pp. 731-792
    • Richardson, S.1    Green, P.2
  • 19
    • 0003347438 scopus 로고    scopus 로고
    • On the separation of signals from neighboring cells in tetrode recordings
    • M. S. Kearns, S. Solla, & D. Cohn (Eds), Cambridge, MA: MIT Press
    • Sahani, M., Pezaris, J. S., & Andersen, R. A. (1997). On the separation of signals from neighboring cells in tetrode recordings. In M. S. Kearns, S. Solla, & D. Cohn (Eds.), Advances in neural information processing systems, 11. Cambridge, MA: MIT Press.
    • (1997) Advances in neural information processing systems , vol.11
    • Sahani, M.1    Pezaris, J. S.2    Andersen, R. A.3
  • 20
    • 0023680404 scopus 로고
    • Unsupervised waveform classification for multi-neuron recordings: A real-time, software-based system I: Algorithms and implementation
    • Salganicoff, M., Sarna, M., Sax, L., & Gerstein, G. L. (1988). Unsupervised waveform classification for multi-neuron recordings: A real-time, software-based system I: Algorithms and implementation. J. Neurosci. Methods, 25(3), 181–187.
    • (1988) J. Neurosci. Methods , vol.25 , Issue.3 , pp. 181-187
    • Salganicoff, M.1    Sarna, M.2    Sax, L.3    Gerstein, G. L.4
  • 21
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwartz, G. (1978). Estimating the dimension of a model. Annals of Statistics, 6(2), 461–464.
    • (1978) Annals of Statistics , vol.6 , Issue.2 , pp. 461-464
    • Schwartz, G.1
  • 22
    • 0042626402 scopus 로고    scopus 로고
    • Robust, automatic spike sorting using mixtures of multivariate t-distributions
    • Shoham, S., Fellows, M. R., & Normann, R. A. (2003). Robust, automatic spike sorting using mixtures of multivariate t-distributions. J. Neurosci. Methods, 127, 111–122.
    • (2003) J. Neurosci. Methods , vol.127 , pp. 111-122
    • Shoham, S.1    Fellows, M. R.2    Normann, R. A.3
  • 23
    • 41849085557 scopus 로고    scopus 로고
    • Spike train decoding without spike sorting
    • Ventura, V. (2008). Spike train decoding without spike sorting. Neural Computation, 20, 923–963.
    • (2008) Neural Computation , vol.20 , pp. 923-963
    • Ventura, V.1
  • 24
    • 66349112605 scopus 로고    scopus 로고
    • Traditional waveform-based spike sorting yields biased rate code estimates
    • Ventura, V. (2009). Traditional waveform-based spike sorting yields biased rate code estimates. PNAS, 106, 6921–6926.
    • (2009) PNAS , vol.106 , pp. 6921-6926
    • Ventura, V.1
  • 25
    • 0346490012 scopus 로고    scopus 로고
    • Statistical analysis of temporal evolution in single-neuron firing rates
    • Ventura, V., Carta, R., Kass, R. E., Gettner, S. N., & Olson, C. R. (2002). Statistical analysis of temporal evolution in single-neuron firing rates. Biostatistics, 1, 1–20.
    • (2002) Biostatistics , vol.1 , pp. 1-20
    • Ventura, V.1    Carta, R.2    Kass, R. E.3    Gettner, S. N.4    Olson, C. R.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.