-
1
-
-
0000517212
-
Bayesian residual analysis for binary response regression models
-
741
-
J. Albert and S. Chib. Bayesian residual analysis for binary response regression models. Biometrika, 82:747s759, 1996. 741
-
(1996)
Biometrika
, vol.82
, pp. 747-759
-
-
Albert, J.1
Chib, S.2
-
3
-
-
0014257478
-
A Bayesian approach to some outliers problems
-
738
-
G.E.P. Box and G.C. Tiao. A Bayesian approach to some outliers problems. Biometrika, 55: 119-129, 1968. 738
-
(1968)
Biometrika
, vol.55
, pp. 119-129
-
-
Box, G.E.P.1
Tiao, G.C.2
-
4
-
-
0023686914
-
Maximum likelihood analysis of spike trains of interacting nerve cells
-
734 737 757
-
D.R. Brillinger. Maximum likelihood analysis of spike trains of interacting nerve cells. Biological Cybernetics, 59:189-200, 1988a. 734, 737, 757
-
(1988)
Biological Cybernetics
, vol.59
, pp. 189-200
-
-
Brillinger, D.R.1
-
5
-
-
0013655726
-
Some statistical methods for random processes data from seismology and neurophysiology
-
734 736
-
D.R. Brillinger. Some statistical methods for random processes data from seismology and neurophysiology. The Annals of Statistics, 16:1-54, 1988b. 734, 736
-
(1988)
The Annals of Statistics
, vol.16
, pp. 1-54
-
-
Brillinger, D.R.1
-
6
-
-
0000059288
-
Nerve cell spike train data analysis: a progression of technique
-
734
-
D.R. Brillinger. Nerve cell spike train data analysis: a progression of technique. Journal of the American Statistical Association, 87:260-271, 1992. 734
-
(1992)
Journal of the American Statistical Association
, vol.87
, pp. 260-271
-
-
Brillinger, D.R.1
-
8
-
-
0018597073
-
Empirical estimation of the threshold model of neuron ring
-
734
-
D.R. Brillinger and J.P. Segundo. Empirical estimation of the threshold model of neuron ring. Biological Cybernetics, 35:213-220, 1979. 734
-
(1979)
Biological Cybernetics
, vol.35
, pp. 213-220
-
-
Brillinger, D.R.1
Segundo, J.P.2
-
9
-
-
0003986138
-
Assessing connections in networks of biological neurons
-
Honor of John W. Tukey; D. R. Brillinger, L. T. Fernholz and S. Morgenthaler (eds. ), 735 737 757
-
D.R. Brillinger and E.P. Villa. Assessing connections in networks of biological neurons. In: The Practice of Data Analysis: Essays in Honor of John W. Tukey; D. R. Brillinger, L. T. Fernholz and S. Morgenthaler (eds.), pages 77-92, 1997. 735, 737, 757
-
(1997)
The Practice of Data Analysis: Essays
, pp. 77-92
-
-
Brillinger, D.R.1
Villa, E.P.2
-
10
-
-
0036482863
-
The time-rescaling theorem and its application to neural spike train data analysis
-
741
-
E. Brown, R. Barbieri, V. Ventura, R.E. Kass, and L.M. Frank. The time-rescaling theorem and its application to neural spike train data analysis. Nature Computation, 14:325-346, 2001. 741
-
(2001)
Nature Computation
, vol.14
, pp. 325-346
-
-
Brown, E.1
Barbieri, R.2
Ventura, V.3
Kass, R.E.4
Frank, L.M.5
-
11
-
-
2142765521
-
Multiple neural spike train data analysis: state-of-the-art and future challenges
-
735
-
E. Brown, R.E. Kass, and P.P. Mitra. Multiple neural spike train data analysis: state-of-the-art and future challenges. Nature Neuroscience, 7:456-461, 2004. 735
-
(2004)
Nature Neuroscience
, vol.7
, pp. 456-461
-
-
Brown, E.1
Kass, R.E.2
Mitra, P.P.3
-
12
-
-
0023688346
-
Maximum likelihood identication of neuronal point process systems
-
735
-
E.S. Chornoboy, L.P. Schramm, and A.F. Karr. Maximum likelihood identication of neuronal point process systems. Biological cybernetics, 59:265-275, 1988. 735
-
(1988)
Biological cybernetics
, vol.59
, pp. 265-275
-
-
Chornoboy, E.S.1
Schramm, L.P.2
Karr, A.F.3
-
16
-
-
0011335953
-
Bayesian variable selection using the gibbs sampler
-
(D. K. Dey, S. Ghosh and B. Mallick, eds. ). New York: Marcel Dekker,. 733
-
P. Dellaportas, J. Forster, and I. Ntzoufras. Bayesian variable selection using the gibbs sampler. In: Generalized linear models: A Bayesian perspective (D.K.Dey, S.Ghosh and B.Mallick, eds.). New York: Marcel Dekker, 2000. 733
-
(2000)
Generalized linear models: A Bayesian perspective
-
-
Dellaportas, P.1
Forster, J.2
Ntzoufras, I.3
-
17
-
-
0010045457
-
Bayesian curve-tting with free-knot splines
-
734
-
I. Di Matteo, C.R. Genovese, and R.E. Kass. Bayesian curve-tting with free-knot splines. Biometrika, 88:1055-1071, 2001. 734
-
(2001)
Biometrika
, vol.88
, pp. 1055-1071
-
-
Di Matteo, I.1
Genovese, C.R.2
Kass, R.E.3
-
18
-
-
33746510330
-
On estimating the dependence between two point processes
-
734
-
H. Doss. On estimating the dependence between two point processes. Annals of Statistics, 17: 749-963, 1989. 734
-
(1989)
Annals of Statistics
, vol.17
, pp. 749-963
-
-
Doss, H.1
-
19
-
-
0002276308
-
Assessment and propagation of model uncertainty
-
733
-
D. Draper. Assessment and propagation of model uncertainty. Journal of the Royal Statistical Society B, 57:45-97, 2002. 733
-
(2002)
Journal of the Royal Statistical Society B
, vol.57
, pp. 45-97
-
-
Draper, D.1
-
21
-
-
84867174041
-
Computational neuroscience
-
734, 741
-
J. Feng. Computational neuroscience. Chapman and Hall, 2003. 734, 741
-
(2003)
Chapman and Hall
-
-
Feng, J.1
-
22
-
-
0001787029
-
Bayesian density estimation by mixtures of Normal distributions
-
(M. Rizvi, J. Rustagi, and D. Siegmund, eds. ); Academic Press, New York 734
-
T.S. Ferguson. Bayesian density estimation by mixtures of Normal distributions. Recent advances in Statistics (M. Rizvi, J. Rustagi, and D. Siegmund, eds.); Academic Press, New York, pages 287-302, 1983. 734
-
(1983)
Recent advances in Statistics
, pp. 287-302
-
-
Ferguson, T.S.1
-
23
-
-
0016222930
-
Stochastic models for single neuron ring trains: a survey
-
734
-
S. E. Fienberg. Stochastic models for single neuron ring trains: a survey. Biometrics, 30: 399-427, 1974. 734
-
(1974)
Biometrics
, vol.30
, pp. 399-427
-
-
Fienberg, S.E.1
-
24
-
-
53349102813
-
Impulse and physiological states in models of nerve membrane
-
R.A. FitzHugh. Impulse and physiological states in models of nerve membrane. Biolphysics Journal, 1:445-466, 1961. 734
-
(1961)
Biolphysics Journal
, vol.1
, pp. 445-466
-
-
FitzHugh, R.A.1
-
25
-
-
0842288337
-
Inferring cellular networks using probabilistic graphical models
-
733
-
N. Friedman. Inferring cellular networks using probabilistic graphical models. Science, 303: 799-805, 2004. 733
-
(2004)
Science
, vol.303
, pp. 799-805
-
-
Friedman, N.1
-
31
-
-
0031526204
-
Approaches for Bayesian variable selection
-
733
-
E.I. George and R.E. McCulloch. Approaches for Bayesian variable selection. Statistica Sinica, 7:339-373, 1997. 733
-
(1997)
Statistica Sinica
, vol.7
, pp. 339-373
-
-
George, E.I.1
McCulloch, R.E.2
-
36
-
-
0035591051
-
On the relationship between MCMC model uncertainty methods
-
733
-
S. Godsill. On the relationship between MCMC model uncertainty methods. Journal of Com-putational and Graphical Statistics, 10:230-248, 2001. 733
-
(2001)
Journal of Com-putational and Graphical Statistics
, vol.10
, pp. 230-248
-
-
Godsill, S.1
-
37
-
-
77956889087
-
Reversible jump MCMC computation and Bayesian model determination
-
734
-
P.J. Green. Reversible jump MCMC computation and Bayesian model determination. Biometrika, 82:711-732, 1995. 734
-
(1995)
Biometrika
, vol.82
, pp. 711-732
-
-
Green, P.J.1
-
38
-
-
77956890234
-
Monte Carlo sampling methods using Markov chains and their applications
-
759
-
W.K. Hastings. Monte Carlo sampling methods using Markov chains and their applications. Biometrika, 57-1:97-109, 1970. 759
-
(1970)
Biometrika
, vol.57
, Issue.1
, pp. 97-109
-
-
Hastings, W.K.1
-
39
-
-
0003846041
-
-
Technical Report MSR-TR-95-06, Microsoft Research, Redmond, Washington,.733
-
D. Heckerman. A tutorial on learning with Bayesian networks. Technical Report MSR-TR-95-06, Microsoft Research, Redmond, Washington, 1996. 733
-
(1996)
A tutorial on learning with Bayesian networks
-
-
Heckerman, D.1
-
40
-
-
35649001607
-
A quantitative description of membrane current and its application to conduction and excitation in nerve
-
734
-
A.L. Hodgkin and A.F. Huxley. A quantitative description of membrane current and its application to conduction and excitation in nerve. Journal of Physiology, 117:500-544, 1952. 734
-
(1952)
Journal of Physiology
, vol.117
, pp. 500-544
-
-
Hodgkin, A.L.1
Huxley, A.F.2
-
42
-
-
84867147616
-
Resonate and re neurons
-
734
-
E.M. Izhikevitch. Resonate and re neurons. Neural networks, 10:1171-1266, 2001. 734
-
(2001)
Neural networks
, vol.10
, pp. 1171-1266
-
-
Izhikevitch, E.M.1
-
43
-
-
0035432526
-
A spike train probability model
-
734 736 757
-
R.E. Kass and V. Ventura. A spike train probability model. Neural computation, 13:1713-1720, 2001. 734, 736, 757
-
(2001)
Neural computation
, vol.13
, pp. 1713-1720
-
-
Kass, R.E.1
Ventura, V.2
-
48
-
-
0001006209
-
Local computations with probabilities on graphical structures and their applications to expert systems
-
736
-
S.L. Lauritzen and D.J. Spiegelhalter. Local computations with probabilities on graphical structures and their applications to expert systems. Journal of the Royal Statistical Society B, 50:157-224, 1988. 736
-
(1988)
Journal of the Royal Statistical Society B
, vol.50
, pp. 157-224
-
-
Lauritzen, S.L.1
Spiegelhalter, D.J.2
-
49
-
-
0034324119
-
Neural coding: higher-order temporal patterns in the neurostatistics of cell assemblies
-
735
-
L. Martignon, G. Deco, K. Laskey, M. Diamond, W. Freiwald, and E. Vaadia. Neural coding: higher-order temporal patterns in the neurostatistics of cell assemblies. Neural Computation, 12:2621-2653, 2000. 735
-
(2000)
Neural Computation
, vol.12
, pp. 2621-2653
-
-
Martignon, L.1
Deco, G.2
Laskey, K.3
Diamond, M.4
Freiwald, W.5
Vaadia, E.6
-
50
-
-
5744249209
-
Equations of state calculations by fast computing machines
-
759
-
N. Metropolis, A. Rosenbluth, M. Rosenbluth, M. Teller, and E. Teller. Equations of state calculations by fast computing machines. J. Chem. Phys., 21:1087-2092, 1953. 759
-
(1953)
J. Chem. Phys.
, vol.21
, pp. 1087-2092
-
-
Metropolis, N.1
Rosenbluth, A.2
Rosenbluth, M.3
Teller, M.4
Teller, E.5
-
51
-
-
27644594482
-
Investigating neuronal activity with planar microelectrode arrays: achievements and new perspectives
-
734
-
F.O. Morin, Y. Takamura, and E. Tamiya. Investigating neuronal activity with planar microelectrode arrays: achievements and new perspectives. Journal of Bioscience and Bioengi-neering, 100:131-143, 2005. 734
-
(2005)
Journal of Bioscience and Bioengi-neering
, vol.100
, pp. 131-143
-
-
Morin, F.O.1
Takamura, Y.2
Tamiya, E.3
-
53
-
-
0004158155
-
-
Technical report, Computer Science Division, University of California, Berkeley, CA.,. 733
-
K. Murphy and S. Mian. Modelling gene expression data using dynamic bayesian networks. Technical report, Computer Science Division, University of California, Berkeley, CA., 1999. 733
-
(1999)
Modelling gene expression data using dynamic bayesian networks
-
-
Murphy, K.1
Mian, S.2
-
56
-
-
23044490853
-
Analyzing functional connectivity using a network likelihood model of ensemble neural spiking activity
-
735
-
M. Okatan, M.A. Wilson, and E.N. Brown. Analyzing functional connectivity using a network likelihood model of ensemble neural spiking activity. Neural computation, 17:1927-1961, 2005. 735
-
(2005)
Neural computation
, vol.17
, pp. 1927-1961
-
-
Okatan, M.1
Wilson, M.A.2
Brown, E.N.3
-
57
-
-
84966209651
-
Integrability of expected increments of point processes and related random change of scale
-
741
-
F. Papangelou. Integrability of expected increments of point processes and related random change of scale. Transactions of the American Mathematical Society, 165:483-506, 1972. 741
-
(1972)
Transactions of the American Mathematical Society
, vol.165
, pp. 483-506
-
-
Papangelou, F.1
-
58
-
-
0000350475
-
Logistic regression diagnostics
-
741
-
D. Pregibon. Logistic regression diagnostics. The Annals of Statistics, 9:705-724, 1981. 741
-
(1981)
The Annals of Statistics
, vol.9
, pp. 705-724
-
-
Pregibon, D.1
-
60
-
-
0003053548
-
Bayesian computations via the Gibbs sampler and related Markov chain monte Carlo methods
-
739
-
A. F.M. Smith and G.O. Roberts. Bayesian computations via the Gibbs sampler and related Markov chain monte Carlo methods. Journal of the Royal Statistical Society B, 55:3-23, 1993. 739
-
(1993)
Journal of the Royal Statistical Society B
, vol.55
, pp. 323
-
-
Smith, A.F.M.1
Roberts, G.O.2
-
61
-
-
0036435040
-
Bayesian measures of model complexity and t
-
733
-
D.J. Spiegelhalter, N.G. Best, P.B. Carlin, and A. van der Linde. Bayesian measures of model complexity and t. Journal of the Royal Statistical Society B, 64:583-639, 2002. 733
-
(2002)
Journal of the Royal Statistical Society B
, vol.64
, pp. 583-639
-
-
Spiegelhalter, D.J.1
Best, N.G.2
Carlin, P.B.3
van der Linde, A.4
-
62
-
-
0003263637
-
Directed cyclic graphical representations of feedback models
-
Philippe Besnard and Steve Hanks editors. Morgan Kauffmann Publishing Incorporation. San Mateo, 733
-
P. Spirtes. Directed cyclic graphical representations of feedback models. Proceedings of the eleventh conference on uncertainty in articial intelligence. Philippe Besnard and Steve Hanks editors. Morgan Kauffmann Publishing Incorporation. San Mateo, pages 491-498, 1995. 733
-
(1995)
Proceedings of the eleventh conference on uncertainty in articial intelligence
, pp. 491-498
-
-
Spirtes, P.1
-
63
-
-
33747349191
-
Nonuniversal critical dynamics in Monte Carlo simulations
-
758
-
R.H. Swendsen and J.S. Wang. Nonuniversal critical dynamics in Monte Carlo simulations. Physics review letters, 58:86-88, 1987. 758
-
(1987)
Physics review letters
, vol.58
, pp. 86-88
-
-
Swendsen, R.H.1
Wang, J.S.2
-
64
-
-
0000576595
-
Markov chains for exploring posterior distributions
-
739
-
L. Tierney. Markov chains for exploring posterior distributions. The Annals of Statistics, 22: 1701-1762, 1994. 739
-
(1994)
The Annals of Statistics
, vol.22
, pp. 1701-1762
-
-
Tierney, L.1
-
65
-
-
12544253489
-
A point process framework for relating neural spiking activity to spiking history, neural ensemble and extrinsic covariate e ects
-
735 737 741 757
-
W. Truccolo, U.T. Eden, M.R. Fellows, J.P. Donoghue, and E.N. Brown. A point process framework for relating neural spiking activity to spiking history, neural ensemble and extrinsic covariate e ects. Journal of Neurophysiology, 93:1074-1089, 2005. 735, 737, 741, 757
-
(2005)
Journal of Neurophysiology
, vol.93
, pp. 1074-1089
-
-
Truccolo, W.1
Eden, U.T.2
Fellows, M.R.3
Donoghue, J.P.4
Brown, E.N.5
-
66
-
-
0027263996
-
Statistical analysis of mixtures applied to postsynaptic potentialfluctuations
-
734
-
D.A. Turner and M. West. Statistical analysis of mixtures applied to postsynaptic potentialfluctuations. Journal of neuroscience methods, 47:1-23, 1993. 734
-
(1993)
Journal of neuroscience methods
, vol.47
, pp. 1-23
-
-
Turner, D.A.1
West, M.2
-
67
-
-
9644274011
-
Dynamics and plasticity in developing neuronal networks in vitro
-
749
-
J. Van Pelt, I. Vajda, P.S. Wolters, M.A. Corner, and G.J.A. Ramakers. Dynamics and plasticity in developing neuronal networks in vitro. Progress in brain research, 147:173-187, 2005. 749
-
(2005)
Progress in brain research
, vol.147
, pp. 173-187
-
-
Van Pelt, J.1
Vajda, I.2
Wolters, P.S.3
Corner, M.A.4
Ramakers, G.J.A.5
-
68
-
-
6344231523
-
Long-term characterization of ring dynamics of spontaneous bursts in cultured neural networks
-
734 749 758
-
J. Van Pelt, P.S. Wolters, M.A. Corner, W.L.C. Rutten, and G.J.A. Ramakers. Long-term characterization of ring dynamics of spontaneous bursts in cultured neural networks. IEEE Trans. BioMed. Eng., 51:2051-2062, 2004. 734, 749, 758
-
(2004)
IEEE Trans. BioMed. Eng.
, vol.51
, pp. 2051-2062
-
-
Van Pelt, J.1
Wolters, P.S.2
Corner, M.A.3
Rutten, W.L.C.4
Ramakers, G.J.A.5
-
69
-
-
0031497384
-
Hierarchical mixture models in neurological transmission analysis
-
734
-
M. West. Hierarchical mixture models in neurological transmission analysis. Journal of the American Statistical Association, 92:587-606, 1997. 734
-
(1997)
Journal of the American Statistical Association
, vol.92
, pp. 587-606
-
-
West, M.1
-
70
-
-
0011565597
-
Deconvolution of mixtures in analysis of neural synaptic transmission
-
734
-
M. West and D.A. Turner. Deconvolution of mixtures in analysis of neural synaptic transmission. The Statistician, 43:31-43, 1992. 734
-
(1992)
The Statistician
, vol.43
, pp. 31-43
-
-
West, M.1
Turner, D.A.2
-
71
-
-
1342303479
-
Fully Bayesian spatio-temporal modelling of FMRI data
-
734
-
M.W. Woolrich, M. Jenkinson, M.J. Brady, and S.M. Smith. Fully Bayesian spatio-temporal modelling of FMRI data. IEEE transcripts on medical imaging, 23:213-231, 2004. 734
-
(2004)
IEEE transcripts on medical imaging
, vol.23
, pp. 213-231
-
-
Woolrich, M.W.1
Jenkinson, M.2
Brady, M.J.3
Smith, S.M.4
|