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Volumn , Issue , 2009, Pages 497-504

Dependent Dirichlet process spike sorting

Author keywords

[No Author keywords available]

Indexed keywords

REFRACTORY MATERIALS;

EID: 84858778469     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (24)

References (15)
  • 1
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    • A review of methods for spike sorting: The detection and classification of neural action potentials
    • M. S. Lewicki. A review of methods for spike sorting: the detection and classification of neural action potentials. Network: Computation in Neural Systems, 9(4):53-78, 1998.
    • (1998) Network: Computation in Neural Systems , vol.9 , Issue.4 , pp. 53-78
    • Lewicki, M.S.1
  • 3
    • 0348147518 scopus 로고    scopus 로고
    • An application of reversible-jump Markov chain Monte Carlo to spike classification of multi-unit extracellular recordings
    • DOI 10.1088/0954-898X/14/1/304
    • D. P. Nguyen, L. M. Frank, and E. N. Brown. An application of reversible-jump Markov chain Monte Carlo to spike classification of multi-unit extracellular recordings. Network, 14(1):61-82, 2003. (Pubitemid 38010858)
    • (2003) Network: Computation in Neural Systems , vol.14 , Issue.1 , pp. 61-82
    • Nguyen, D.P.1    Frank, L.M.2    Brown, E.N.3
  • 6
    • 54049132069 scopus 로고    scopus 로고
    • A nonparametric Bayesian alternative to spike sorting
    • F. Wood and M. J. Black. A nonparametric Bayesian alternative to spike sorting. Journal of Neuroscience Methods, 173:1-12, 2008.
    • (2008) Journal of Neuroscience Methods , vol.173 , pp. 1-12
    • Wood, F.1    Black, M.J.2
  • 9
    • 33748313143 scopus 로고    scopus 로고
    • Spike sorting: Bayesian clustering of non-stationary data
    • DOI 10.1016/j.jneumeth.2006.04.023, PII S0165027006002007
    • A. Bar-Hillel, A. Spiro, and E. Stark. Spike sorting: Bayesian clustering of non-stationary data. Journal of Neuroscience Methods, 157(2):303-316, 2006. (Pubitemid 44331968)
    • (2006) Journal of Neuroscience Methods , vol.157 , Issue.2 , pp. 303-316
    • Bar-Hillel, A.1    Spiro, A.2    Stark, E.3
  • 12
    • 0033930645 scopus 로고    scopus 로고
    • Intracellular features predicted by extracellular recordings in the hippocampus in vivo
    • D. A. Henze, Z. Borhegyi, J. Csicsvari, A. Mamiya, K. D. Harris, and G. Buzsáki. Intracellular features predicted by extracellular recordings in the hippocampus in vivo. Journal of Neurophysiology, 84(1):390-400, 2000. (Pubitemid 30490059)
    • (2000) Journal of Neurophysiology , vol.84 , Issue.1 , pp. 390-400
    • Henze, D.A.1    Borhegyi, Z.2    Csicsvari, J.3    Mamiya, A.4    Harris, K.D.5    Buzsaki, G.6
  • 13
    • 0033928411 scopus 로고    scopus 로고
    • Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements
    • K. D. Harris, D. A. Henze, J. Csicsvari, H. Hirase, and G. Buzsáki. Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements. Journal of Neurophysiology, 81(1):401-414, 2000. (Pubitemid 30490060)
    • (2000) Journal of Neurophysiology , vol.84 , Issue.1 , pp. 401-414
    • Harris, K.D.1    Henze, D.A.2    Csicsvari, J.3    Hirase, H.4    Buzsaki, G.5
  • 14
    • 3843139378 scopus 로고    scopus 로고
    • Particle filters for mixture models with an unknown number of components
    • DOI 10.1023/B:STCO.0000009418.04621.cd
    • P. Fearnhead. Particle filters for mixture models with an unknown number of components. Journal of Statistics and Computing, 14:11-21, 2004. (Pubitemid 39046598)
    • (2004) Statistics and Computing , vol.14 , Issue.1 , pp. 11-21
    • Fearnhead, P.1
  • 15
    • 2442479355 scopus 로고    scopus 로고
    • Improved spike-sorting by modeling firing statistics and burst-dependent spike amplitude attenuation: A Markov chain Monte Carlo approach
    • DOI 10.1152/jn.00227.2003
    • C. Pouzat, M. Delescluse, P. Viot, and J. Diebolt. Improved spike-sorting by modeling firing statistics and burst-dependent spike amplitude attenuation: A Markov Chain Monte Carlo approach. Journal of Neurophysiology, 91(6):2910-2928, 2004. (Pubitemid 38649793)
    • (2004) Journal of Neurophysiology , vol.91 , Issue.6 , pp. 2910-2928
    • Pouzat, C.1    Delescluse, M.2    Viot, P.3    Diebolt, J.4


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