메뉴 건너뛰기




Volumn 23, Issue 8, 2011, Pages 1967-1999

Online variational inference for state-space models with point-process observations

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ANIMAL; BIOLOGICAL MODEL; LETTER; NERVE CELL; PHYSIOLOGY; RAT; THEORETICAL MODEL;

EID: 79959658819     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/NECO_a_00156     Document Type: Letter
Times cited : (17)

References (37)
  • 1
    • 0003278032 scopus 로고    scopus 로고
    • Inferring parameters and structure of latent variable models by variational Bayes
    • San Francisco: Morgan Kaufmann
    • Attias, H. (1999). Inferring parameters and structure of latent variable models by variational Bayes. In Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence (pp. 21-30). San Francisco: Morgan Kaufmann.
    • (1999) Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence , pp. 21-30
    • Attias, H.1
  • 2
    • 11144274476 scopus 로고    scopus 로고
    • A point-process model of human heartbeat intervals:Newdefinitions of heart rate and heart rate variability
    • Barbieri, R., Matten, E., Alabi, A., & Brown, E. (2005). A point-process model of human heartbeat intervals:Newdefinitions of heart rate and heart rate variability. AJP-Heart and Circulatory Physiology, 288(1), 424-435.
    • (2005) AJP-Heart and Circulatory Physiology , vol.288 , Issue.1 , pp. 424-435
    • Barbieri, R.1    Matten, E.2    Alabi, A.3    Brown, E.4
  • 4
    • 0019057841 scopus 로고
    • Recursive nonlinear estimation of a diffusion acting as the rate of an observed Poisson process
    • Boel, R., & Benes, V. (1980). Recursive nonlinear estimation of a diffusion acting as the rate of an observed Poisson process. IEEE Transactions on Information Theory, 26(5), 561-575.
    • (1980) IEEE Transactions on Information Theory , vol.26 , Issue.5 , pp. 561-575
    • Boel, R.1    Benes, V.2
  • 5
    • 0018455310 scopus 로고
    • Suppression of acoustic noise in speech using spectral subtraction
    • Boll, S. (1979). Suppression of acoustic noise in speech using spectral subtraction. IEEE Transactions on Acoustics, Speech and Signal Processing, 27(2), 113-120.
    • (1979) IEEE Transactions on Acoustics, Speech and Signal Processing , vol.27 , Issue.2 , pp. 113-120
    • Boll, S.1
  • 7
    • 0036482863 scopus 로고    scopus 로고
    • The time-rescaling theorem and its application to neural spike train data analysis
    • Brown, E., Barbieri, R., Ventura, V., Kass, R., & Frank, L. (2002). The time-rescaling theorem and its application to neural spike train data analysis. Neural Computation, 14(2), 325-346.
    • (2002) Neural Computation , vol.14 , Issue.2 , pp. 325-346
    • Brown, E.1    Barbieri, R.2    Ventura, V.3    Kass, R.4    Frank, L.5
  • 8
    • 0000193853 scopus 로고
    • On Gibbs sampling for state space models
    • Carter, C., & Kohn, R. (1994). On Gibbs sampling for state space models. Biometrika, 81(3), 541-553.
    • (1994) Biometrika , vol.81 , Issue.3 , pp. 541-553
    • Carter, C.1    Kohn, R.2
  • 9
    • 0000979403 scopus 로고    scopus 로고
    • Sequential Monte Carlo methods to train neural network models
    • de Freitas, J., Niranjan, M., Gee, A., & Doucet, A. (2000). Sequential Monte Carlo methods to train neural network models. Neural Computation, 12(4), 955-993.
    • (2000) Neural Computation , vol.12 , Issue.4 , pp. 955-993
    • de Freitas, J.1    Niranjan, M.2    Gee, A.3    Doucet, A.4
  • 10
    • 0141788659 scopus 로고    scopus 로고
    • Taste response variability and temporal coding in the nucleus of the solitary tract of the rat
    • di Lorenzo, P., & Victor, J. (2003). Taste response variability and temporal coding in the nucleus of the solitary tract of the rat. Journal of Neurophysiology, 90, 1418-1431.
    • (2003) Journal of Neurophysiology , vol.90 , pp. 1418-1431
    • di Lorenzo, P.1    Victor, J.2
  • 11
    • 0008802221 scopus 로고    scopus 로고
    • An introduction to sequential Monte Carlo methods
    • A. Doucet, N. de Freitas, & N. Gordon (Eds.), New York: Springer-Verlag
    • Doucet, A., de Freitas, N., & Gordon, N. (2001). An introduction to sequential Monte Carlo methods. In A. Doucet, N. de Freitas, & N. Gordon (Eds.), Sequential Monte Carlo methods in practice (pp. 3-14). New York: Springer-Verlag.
    • (2001) Sequential Monte Carlo methods in practice , pp. 3-14
    • Doucet, A.1    de Freitas, N.2    Gordon, N.3
  • 13
    • 1842733199 scopus 로고    scopus 로고
    • Dynamic analysis of neural encoding by point process adaptive filtering
    • Eden, U., Frank, L., Barbieri, R., Solo, V., & Brown, E. (2004). Dynamic analysis of neural encoding by point process adaptive filtering. Neural Computation, 16(5), 971-998.
    • (2004) Neural Computation , vol.16 , Issue.5 , pp. 971-998
    • Eden, U.1    Frank, L.2    Barbieri, R.3    Solo, V.4    Brown, E.5
  • 14
    • 33847716709 scopus 로고    scopus 로고
    • Construction of point process adaptive filter algorithms for neural systems using sequential Monte Carlo methods
    • Ergün, A., Barbieri, R., Eden, U., Wilson, M., & Brown, E. (2007). Construction of point process adaptive filter algorithms for neural systems using sequential Monte Carlo methods. IEEE Transactions on Biomedical Engineering, 54(3), 419-428.
    • (2007) IEEE Transactions on Biomedical Engineering , vol.54 , Issue.3 , pp. 419-428
    • Ergün, A.1    Barbieri, R.2    Eden, U.3    Wilson, M.4    Brown, E.5
  • 15
    • 21844493772 scopus 로고
    • Dynamic stochastic models for time-dependent ordered paired comparison systems
    • Fahrmeir, L., & Tutz, G. (1994). Dynamic stochastic models for time-dependent ordered paired comparison systems. Journal of the American Statistical Association, 89(428), 1438-1449.
    • (1994) Journal of the American Statistical Association , vol.89 , Issue.428 , pp. 1438-1449
    • Fahrmeir, L.1    Tutz, G.2
  • 17
    • 0035964376 scopus 로고    scopus 로고
    • Bayesian estimation of state-space models using the Metropolis-Hasting algorithm with in Gibbs sampling
    • Geweke, J., & Tanizaki, H. (2001). Bayesian estimation of state-space models using the Metropolis-Hasting algorithm with in Gibbs sampling. Computational Statistics and Data Analysis, 37(2), 151-170.
    • (2001) Computational Statistics and Data Analysis , vol.37 , Issue.2 , pp. 151-170
    • Geweke, J.1    Tanizaki, H.2
  • 18
    • 0029773391 scopus 로고    scopus 로고
    • Scaling behavior of heartbeat intervals obtained by wavelet-based time-series analysis
    • Ivanov, P., Rosenblum, M., Peng, C., Mietus, J., Havlin, S. Stanley, H., et al. (1996). Scaling behavior of heartbeat intervals obtained by wavelet-based time-series analysis. Nature, 383, 323-327.
    • (1996) Nature , vol.383 , pp. 323-327
    • Ivanov, P.1    Rosenblum, M.2    Peng, C.3    Mietus, J.4    Havlin, S.5    Stanley, H.6
  • 21
    • 54049157748 scopus 로고    scopus 로고
    • A new method of spike modelling and interval analysis
    • MacGregor, D., Williams, C., & Leng., G. (2009). A new method of spike modelling and interval analysis. Journal of Neuroscience Methods, 176(1), 45-56.
    • (2009) Journal of Neuroscience Methods , vol.176 , Issue.1 , pp. 45-56
    • MacGregor, D.1    Williams, C.2    Leng, G.3
  • 24
    • 2642691669 scopus 로고    scopus 로고
    • Spike synchronization and rate modulation differentially involved in motor cortical function
    • Riehle, A., Grün, S., Diesmann, M., & Aertsen, A. (1997). Spike synchronization and rate modulation differentially involved in motor cortical function. Science, 278(5345), 1950-1953.
    • (1997) Science , vol.278 , Issue.5345 , pp. 1950-1953
    • Riehle, A.1    Grün, S.2    Diesmann, M.3    Aertsen, A.4
  • 25
    • 39149083015 scopus 로고    scopus 로고
    • Variability in responses and temporal coding of tastants of similar quality in the nucleus of the solitary tract of the rat
    • Roussin, A., Victor, J., Chen, J.-Y., & di Lorenzo, P. (2008). Variability in responses and temporal coding of tastants of similar quality in the nucleus of the solitary tract of the rat. J. Neurophysiol., 99(2), 644-655.
    • (2008) J. Neurophysiol. , vol.99 , Issue.2 , pp. 644-655
    • Roussin, A.1    Victor, J.2    Chen, J.-Y.3    di Lorenzo, P.4
  • 26
    • 0033556862 scopus 로고    scopus 로고
    • A unifying review of linear gaussian models
    • Roweis, S., & Ghahramani, Z. (1999). A unifying review of linear gaussian models. Neural Computation, 11(2), 305-345.
    • (1999) Neural Computation , vol.11 , Issue.2 , pp. 305-345
    • Roweis, S.1    Ghahramani, Z.2
  • 27
    • 0000147488 scopus 로고    scopus 로고
    • On-line model selection based on the variational Bayes
    • Sato, M. (2001). On-line model selection based on the variational Bayes. Neural Computation, 13(7), 1649-1681.
    • (2001) Neural Computation , vol.13 , Issue.7 , pp. 1649-1681
    • Sato, M.1
  • 31
    • 0038605051 scopus 로고    scopus 로고
    • Estimating a state-space model from point process observations
    • Smith, A., & Brown, E. (2003). Estimating a state-space model from point process observations. Neural Computation, 15(5), 965-991.
    • (2003) Neural Computation , vol.15 , Issue.5 , pp. 965-991
    • Smith, A.1    Brown, E.2
  • 32
    • 69949109535 scopus 로고    scopus 로고
    • A Bayesian statistical analysis of behavioral facilitation associated with deep brain stimulation
    • Smith, A., Shah, S., Hudson, A., Purpura, K., Victor, J., Brown, E. et al. (2009). A Bayesian statistical analysis of behavioral facilitation associated with deep brain stimulation. Journal of Neuroscience Methods, 183, 267-276.
    • (2009) Journal of Neuroscience Methods , vol.183 , pp. 267-276
    • Smith, A.1    Shah, S.2    Hudson, A.3    Purpura, K.4    Victor, J.5    Brown, E.6
  • 34
    • 0034445351 scopus 로고    scopus 로고
    • "Unobserved" Monte Carlo method for identification of partially observed nonlinear state space systems. Part II: Counting process observations
    • Piscataway, NJ: IEEE
    • Solo, V. (2000). "Unobserved" Monte Carlo method for identification of partially observed nonlinear state space systems. Part II: Counting process observations. In Proceedings of the 39th IEEE Conference on Decision and Control (Vol. 4, pp. 3331-3336). Piscataway, NJ: IEEE.
    • (2000) Proceedings of the 39th IEEE Conference on Decision and Control , vol.4 , pp. 3331-3336
    • Solo, V.1
  • 35
    • 0036475891 scopus 로고    scopus 로고
    • Particle filters for state-space models with the presence of unknown static parameters
    • Storvik, G. (2002). Particle filters for state-space models with the presence of unknown static parameters. IEEE Transactions on Signal Processing, 50(2), 281-289.
    • (2002) IEEE Transactions on Signal Processing , vol.50 , Issue.2 , pp. 281-289
    • Storvik, G.1
  • 36
    • 0005943476 scopus 로고    scopus 로고
    • Dual extended Kalman filter methods
    • S. Haykin (Ed.), Hoboken, NJ: Wiley
    • Wan, E., & Nelson, A. (2001). Dual extended Kalman filter methods. In S. Haykin (Ed.), Kalman filtering and neural networks (pp. 123-173). Hoboken, NJ: Wiley.
    • (2001) Kalman filtering and neural networks , pp. 123-173
    • Wan, E.1    Nelson, A.2
  • 37
    • 77956008922 scopus 로고    scopus 로고
    • Estimating a state-space model from point process observations: A note on convergence
    • Yuan, K., & Niranjan, M. (2010). Estimating a state-space model from point process observations: A note on convergence. Neural Computation, 22(8), 1993-2001.
    • (2010) Neural Computation , vol.22 , Issue.8 , pp. 1993-2001
    • Yuan, K.1    Niranjan, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.