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Volumn 66, Issue 1, 2010, Pages 277-286

Bayesian nonparametric modeling for comparison of single-neuron firing intensities

Author keywords

Beta mixtures; Dirichlet process; Neuronal data; Nonhomogeneous Poisson process; Primary motor cortex area

Indexed keywords

POISSON DISTRIBUTION;

EID: 77949668401     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2009.01230.x     Document Type: Article
Times cited : (9)

References (29)
  • 1
    • 0000708831 scopus 로고
    • Mixtures of Dirichlet processes with applications to nonparametric problems
    • Antoniak, C. E. (1974). Mixtures of Dirichlet processes with applications to nonparametric problems. Annals of Statistics 2, 1152-1174.
    • (1974) Annals of Statistics , vol.2 , pp. 1152-1174
    • Antoniak, C.E.1
  • 3
    • 21544442413 scopus 로고    scopus 로고
    • Testing equality of two functions using BARS
    • Behseta, S. and Kass, R. E. (2005). Testing equality of two functions using BARS. Statistics in Medicine 24, 3523-3534.
    • (2005) Statistics in Medicine , vol.24 , pp. 3523-3534
    • Behseta, S.1    Kass, R.E.2
  • 4
    • 21644455755 scopus 로고    scopus 로고
    • Hierarchical models for assessing variability among functions
    • Behseta, S., Kass, R. E., and Wallstrom, G. L. (2005). Hierarchical models for assessing variability among functions. Biometrika 92,419-434.
    • (2005) Biometrika , vol.92 , pp. 419-434
    • Behseta, S.1    Kass, R.E.2    Wallstrom, G.L.3
  • 5
    • 67649373558 scopus 로고    scopus 로고
    • Reference analysis
    • D. K. Dey and C. R. Rao eds, Amsterdam: Elsevier
    • Bernardo, J. M. (2005). Reference analysis. In Handbook of Statistics 25, D. K. Dey and C. R. Rao (eds), 17-90. Amsterdam: Elsevier.
    • (2005) Handbook of Statistics 25 , pp. 17-90
    • Bernardo, J.M.1
  • 6
    • 0002617436 scopus 로고
    • Ferguson distributions via Pólya urn schemes.
    • Blackwell, D. and MacQueen, J. B. (1973). Ferguson distributions via Pólya urn schemes. Annals of Statistics 1, 353-355.
    • (1973) Annals of Statistics , vol.1 , pp. 353-355
    • Blackwell, D.1    MacQueen, J.B.2
  • 7
    • 0023686914 scopus 로고
    • Maximum likelihood analysis of spike trains of interacting nerve cells
    • Brillinger, D. R. (1988). Maximum likelihood analysis of spike trains of interacting nerve cells. Biological Cybernetics 59, 189-200.
    • (1988) Biological Cybernetics , vol.59 , pp. 189-200
    • Brillinger, D.R.1
  • 8
    • 0000059288 scopus 로고
    • Nerve cell spike train data analysis: A progression of technique
    • Brillinger, D. R. (1992). Nerve cell spike train data analysis: A progression of technique. Journal of the American Statistical Association 87, 260-271.
    • (1992) Journal of the American Statistical Association , vol.87 , pp. 260-271
    • Brillinger, D.R.1
  • 9
    • 0036482863 scopus 로고    scopus 로고
    • The time-rescaling theorem and its application to neural spike train data analysis
    • Brown, E. N., Barbieri, R., Ventura, V., Kass, R. E., and Frank, L. M. (2001). The time-rescaling theorem and its application to neural spike train data analysis. Neural Computation 14, 325-346.
    • (2001) Neural Computation , vol.14 , pp. 325-346
    • Brown, E.N.1    Barbieri, R.2    Ventura, V.3    Kass, R.E.4    Frank, L.M.5
  • 10
    • 2142765521 scopus 로고    scopus 로고
    • Multiple neural spike train data analysis: State-of-the-art and future challenges
    • Brown, E., Kass, R. E., and Mitra, P. P. (2004). Multiple neural spike train data analysis: State-of-the-art and future challenges. Nature Neuroscience 7, 456-461.
    • (2004) Nature Neuroscience , vol.7 , pp. 456-461
    • Brown, E.1    Kass, R.E.2    Mitra, P.P.3
  • 11
    • 0001501154 scopus 로고
    • Quantifying prior opinion (with discussion)
    • J. M. Bernardo, M. H. DeGroot, D. V. Lindley, and A. F. M. Smith eds, Amsterdam: North-Holland
    • Diaconis, P. and Ylvisaker, D. (1985). Quantifying prior opinion (with discussion). In Bayesian Statistics 2, J. M. Bernardo, M. H. DeGroot, D. V. Lindley, and A. F. M. Smith (eds), 133-156. Amsterdam: North-Holland.
    • (1985) Bayesian Statistics 2 , pp. 133-156
    • Diaconis, P.1    Ylvisaker, D.2
  • 14
    • 0001120413 scopus 로고
    • A Bayesian analysis of some nonparametric problems
    • Ferguson, T. S. (1973). A Bayesian analysis of some nonparametric problems. Annals of Statistics 1, 209-230.
    • (1973) Annals of Statistics , vol.1 , pp. 209-230
    • Ferguson, T.S.1
  • 17
    • 0036017464 scopus 로고    scopus 로고
    • A computational approach for full nonparametric Bayesian inference under Dirichlet process mixture models
    • Gelfand, A. E. and Kottas, A. (2002). A computational approach for full nonparametric Bayesian inference under Dirichlet process mixture models. Journal of Computational and Graphical Statistics 11, 289-305.
    • (2002) Journal of Computational and Graphical Statistics , vol.11 , pp. 289-305
    • Gelfand, A.E.1    Kottas, A.2
  • 18
    • 0002655611 scopus 로고
    • Motor cortex and cognitive processing
    • M. S. Gazzaniga ed, Cambridge: MIT Press
    • Georgopoulos, A. P. (1995). Motor cortex and cognitive processing. In The Cognitive Neurosciences, M. S. Gazzaniga (ed), 507-517. Cambridge: MIT Press.
    • (1995) The Cognitive Neurosciences , pp. 507-517
    • Georgopoulos, A.P.1
  • 20
  • 21
    • 28044451526 scopus 로고    scopus 로고
    • Nonparametric Bayesian survival analysis using mixtures of Weibull distributions
    • Kottas, A. (2006). Nonparametric Bayesian survival analysis using mixtures of Weibull distributions. Journal of Statistical Planning and Inference 136, 578-596.
    • (2006) Journal of Statistical Planning and Inference , vol.136 , pp. 578-596
    • Kottas, A.1
  • 22
    • 34250186433 scopus 로고    scopus 로고
    • Bayesian mixture modeling for spatial Poisson process intensities, with applications to extreme value analysis
    • Kottas, A. and Sansó, B. (2007). Bayesian mixture modeling for spatial Poisson process intensities, with applications to extreme value analysis. Journal of Statistical Planning and Inference 137, 3151-3163.
    • (2007) Journal of Statistical Planning and Inference , vol.137 , pp. 3151-3163
    • Kottas, A.1    Sansó, B.2
  • 23
    • 33846916162 scopus 로고    scopus 로고
    • Skill representation in the primary motor cortex after long-term practice
    • Matsuzaka, Y., Picard, N., and Strick, P. L. (2007). Skill representation in the primary motor cortex after long-term practice. Journal of Neurophysiology 97, 1819-1832.
    • (2007) Journal of Neurophysiology , vol.97 , pp. 1819-1832
    • Matsuzaka, Y.1    Picard, N.2    Strick, P.L.3
  • 24
    • 77950032550 scopus 로고    scopus 로고
    • Markov chain sampling methods for Dirichlet process mixture models
    • Neal, R. M. (2000). Markov chain sampling methods for Dirichlet process mixture models. Journal of Computational and Graphical Statistics 9, 249-265.
    • (2000) Journal of Computational and Graphical Statistics , vol.9 , pp. 249-265
    • Neal, R.M.1
  • 25
    • 42149195907 scopus 로고    scopus 로고
    • Bayesian modelling and analysis of spatio-temporal neuronal networks
    • Rigat, F., de Gunst, M., and van Pelt, J. (2006). Bayesian modelling and analysis of spatio-temporal neuronal networks. Bayesian Analysis 1, 733-764.
    • (2006) Bayesian Analysis , vol.1 , pp. 733-764
    • Rigat, F.1    de Gunst, M.2    van Pelt, J.3
  • 26
    • 33745955569 scopus 로고    scopus 로고
    • Bootstrap-based methods for testing factor-by-curve interactions in generalized additive models: Assessing prefrontal cortex neural activity related to decision-making
    • Roca-Pardiñas, J., Cadarso-Suárez, C., Nácher, V., and Acuña, C. (2006). Bootstrap-based methods for testing factor-by-curve interactions in generalized additive models: Assessing prefrontal cortex neural activity related to decision-making. Statistics in Medicine 25, 2483-2501.
    • (2006) Statistics in Medicine , vol.25 , pp. 2483-2501
    • Roca-Pardiñas, J.1    Cadarso-Suárez, C.2    Nácher, V.3    Acuña, C.4
  • 27
    • 0000720609 scopus 로고
    • A constructive definition of Dirichlet priors
    • Sethuraman, J. (1994). A constructive definition of Dirichlet priors. Statistica Sinica 4, 639-650.
    • (1994) Statistica Sinica , vol.4 , pp. 639-650
    • Sethuraman, J.1
  • 28
    • 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., and Olson, C. R. (2002). Statistical analysis of temporal evolution in single-neuron firing rates. Biostatistics 3, 1-20.
    • (2002) Biostatistics , vol.3 , pp. 1-20
    • Ventura, V.1    Carta, R.2    Kass, R.E.3    Gettner, S.N.4    Olson, C.R.5
  • 29
    • 0031497384 scopus 로고    scopus 로고
    • Hierarchical mixture models in neurological transmission analysis
    • West, M. (1997). Hierarchical mixture models in neurological transmission analysis. Journal of the American Statistical Association 92, 587-606.
    • (1997) Journal of the American Statistical Association , vol.92 , pp. 587-606
    • West, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.