-
2
-
-
27944447612
-
Do we know what the early visual system does?
-
Carandini, M., Demb, J., Mante, V., Tolhurst, D., Dan, Y., Olshausen, B., Gallant, J., Rust, N.: Do we know what the early visual system does? J Neurosci 25(46), 10577-10597 (2005)
-
(2005)
J Neurosci
, vol.25
, Issue.46
, pp. 10577-10597
-
-
Carandini, M.1
Demb, J.2
Mante, V.3
Tolhurst, D.4
Dan, Y.5
Olshausen, B.6
Gallant, J.7
Rust, N.8
-
3
-
-
0000324169
-
Adaptive rejection sampling for Gibbs sampling
-
Gilks, W.R., Wild, P.: Adaptive rejection sampling for Gibbs sampling. Applied Statistics 41(2), 337-348 (1992)
-
(1992)
Applied Statistics
, vol.41
, Issue.2
, pp. 337-348
-
-
Gilks, W.R.1
Wild, P.2
-
4
-
-
0043069766
-
Organization of cell assemblies in the hippocampus
-
Harris, K., Csicsvari, J., Hirase, H., Dragoi, G., Buzsaki, C.: Organization of cell assemblies in the hippocampus. Nature 424(6948), 552-556 (2003)
-
(2003)
Nature
, vol.424
, Issue.6948
, pp. 552-556
-
-
Harris, K.1
Csicsvari, J.2
Hirase, H.3
Dragoi, G.4
Buzsaki, C.5
-
6
-
-
33947651485
-
Divergence measures and message passing
-
Technical Report MSR-TR-2005-173, Microsoft Research, Cambridge
-
Minka, T.: Divergence measures and message passing. Technical Report MSR-TR-2005-173, Microsoft Research, Cambridge (2005)
-
(2005)
-
-
Minka, T.1
-
7
-
-
0011965365
-
Expectation propagation for approximate Bayesian inference
-
Minka, T.: Expectation propagation for approximate Bayesian inference. Uncertainty in AI 17 (2001)
-
(2001)
Uncertainty in AI
, vol.17
-
-
Minka, T.1
-
8
-
-
77956943618
-
Expectation propagation for continuous time Bayesian networks
-
Nodelman, U., Koller, D., Shelton, C.: Expectation propagation for continuous time Bayesian networks. Uncertainty in AI 21, 431-440 (2005)
-
(2005)
Uncertainty in AI
, vol.21
, pp. 431-440
-
-
Nodelman, U.1
Koller, D.2
Shelton, C.3
-
9
-
-
0034320350
-
-
Opper, M., Winther, O.: Gaussian processes for classification: Mean field algorithms. N. Comp. 12(11), 2655-2684 (2000)
-
Opper, M., Winther, O.: Gaussian processes for classification: Mean field algorithms. N. Comp. 12(11), 2655-2684 (2000)
-
-
-
-
10
-
-
9744274025
-
Maximum likelihood estimation of cascade point-process neural encoding models
-
Paninski, L.: Maximum likelihood estimation of cascade point-process neural encoding models. Network: Computation in Neural Systems 15, 243-262 (2004)
-
(2004)
Network: Computation in Neural Systems
, vol.15
, pp. 243-262
-
-
Paninski, L.1
-
11
-
-
38049118178
-
The Bayesian Lasso
-
Technical report, University of Florida
-
Park, T., Casella, G.: The Bayesian Lasso. Technical report, University of Florida (2005)
-
(2005)
-
-
Park, T.1
Casella, G.2
-
12
-
-
14344253847
-
Predictive automatic relevance determination by expectation propagation
-
Qi, Y., Minka, T., Picard, R., Ghahramani, Z.: Predictive automatic relevance determination by expectation propagation. In: Proceedings of ICML 21 (2004)
-
(2004)
Proceedings of ICML
, vol.21
-
-
Qi, Y.1
Minka, T.2
Picard, R.3
Ghahramani, Z.4
-
14
-
-
0003634127
-
-
1st edn. MIT Press, Cambridge
-
Rieke, F., Warland, D., van Steveninck, R.R., Bialek, W.: Spikes: Exploring the Neural Code, 1st edn. MIT Press, Cambridge (1999)
-
(1999)
Spikes: Exploring the Neural Code
-
-
Rieke, F.1
Warland, D.2
van Steveninck, R.R.3
Bialek, W.4
-
15
-
-
38049118177
-
-
Seeger, M.: Expectation propagation for exponential families. Technical report, University of California at Berkeley (2005) See http://www.kyb. tuebingen.mpg.de/bs/people/seeger
-
Seeger, M.: Expectation propagation for exponential families. Technical report, University of California at Berkeley (2005) See http://www.kyb. tuebingen.mpg.de/bs/people/seeger
-
-
-
-
16
-
-
38049145045
-
Bayesian inference and optimal design in the sparse linear model
-
Seeger, M., Steinke, F., Tsuda, K.: Bayesian inference and optimal design in the sparse linear model. AI and Statistics 11 (2007)
-
(2007)
AI and Statistics
, vol.11
-
-
Seeger, M.1
Steinke, F.2
Tsuda, K.3
-
17
-
-
2542438416
-
Characterization of neural responses with stochastic stimuli
-
Gazzaniga, M, ed, 3rd edn, MIT Press, Cambridge
-
Simoncelli, E., Paninski, L., Pillow, J., Schwartz, O.: Characterization of neural responses with stochastic stimuli. In: Gazzaniga, M. (ed.) The Cognitive Neurosciences, 3rd edn., MIT Press, Cambridge (2004)
-
(2004)
The Cognitive Neurosciences
-
-
Simoncelli, E.1
Paninski, L.2
Pillow, J.3
Schwartz, O.4
-
19
-
-
0001287271
-
Regression shrinkage and selection via the Lasso
-
Tibshirani, R.: Regression shrinkage and selection via the Lasso. J. Roy. Stat. Soc. B 58, 267-288 (1996)
-
(1996)
J. Roy. Stat. Soc. B
, vol.58
, pp. 267-288
-
-
Tibshirani, R.1
-
20
-
-
0001224048
-
Sparse Bayesian learning and the relevance vector machine
-
Tipping, M.: Sparse Bayesian learning and the relevance vector machine. J. M. Learn. Res. 1, 211-244 (2001)
-
(2001)
J. M. Learn. Res
, vol.1
, pp. 211-244
-
-
Tipping, M.1
-
22
-
-
33748908922
-
Perspectives on sparse Bayesian learning
-
Wipf, D., Palmer, J., Rao, B.: Perspectives on sparse Bayesian learning. In: Advances in NIPS 16 (2004)
-
(2004)
Advances in NIPS
, vol.16
-
-
Wipf, D.1
Palmer, J.2
Rao, B.3
-
23
-
-
27644575965
-
The spatial filtering properties of local edge detectors and brisk-sustained retinal ganglion cells
-
Zeck, G., Xiao, Q., Masland, R.: The spatial filtering properties of local edge detectors and brisk-sustained retinal ganglion cells. Eur J Neurosci 22(8), 2016-2026 (2005)
-
(2005)
Eur J Neurosci
, vol.22
, Issue.8
, pp. 2016-2026
-
-
Zeck, G.1
Xiao, Q.2
Masland, R.3
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