-
2
-
-
0000705894
-
The adaptive nature of human categorization
-
Anderson, J.R., The adaptive nature of human categorization. Psychological Review 98:3 (1991), 409–429.
-
(1991)
Psychological Review
, vol.98
, Issue.3
, pp. 409-429
-
-
Anderson, J.R.1
-
3
-
-
84877784552
-
Complex inference in neural circuits with probabilistic population codes and topic models
-
F. Pereira C. Burges L. Bottou K. Weinberger Curran Associates, Inc.
-
Beck, J., Pouget, A., Heller, K.A., Complex inference in neural circuits with probabilistic population codes and topic models. Pereira, F., Burges, C., Bottou, L., Weinberger, K., (eds.) Advances in neural information processing systems, Vol. 25, 2012, Curran Associates, Inc., 3059–3067.
-
(2012)
Advances in neural information processing systems
, vol.25
, pp. 3059-3067
-
-
Beck, J.1
Pouget, A.2
Heller, K.A.3
-
4
-
-
33846516584
-
Pattern recognition and machine learning
-
Springer New York, NY
-
Bishop, C.M., Pattern recognition and machine learning. 2006, Springer, New York, NY.
-
(2006)
-
-
Bishop, C.M.1
-
6
-
-
81355133300
-
Neural dynamics as sampling: A model for stochastic computation in recurrent networks of spiking neurons
-
Buesing, L., Bill, J., Nessler, B., Maass, W., Neural dynamics as sampling: A model for stochastic computation in recurrent networks of spiking neurons. PLoS Computational Biology, 7(11), 2011, e1002211.
-
(2011)
PLoS Computational Biology
, vol.7
, Issue.11
, pp. e1002211
-
-
Buesing, L.1
Bill, J.2
Nessler, B.3
Maass, W.4
-
7
-
-
85162044170
-
The pigeon as particle filter
-
J. Platt D. Koller Y. Singer S. Roweis MIT Press Cambridge, MA
-
Daw, N.D., Courville, A.C., The pigeon as particle filter. Platt, J., Koller, D., Singer, Y., Roweis, S., (eds.) Advances in neural information processing systems, Vol. 20, 2008, MIT Press, Cambridge, MA, 369–376.
-
(2008)
Advances in neural information processing systems
, vol.20
, pp. 369-376
-
-
Daw, N.D.1
Courville, A.C.2
-
8
-
-
70349155262
-
Semi-rational models of conditioning: The case of trial order
-
N. Chater M. Oaksford Oxford University Press Oxford, UK
-
Daw, N.D., Courville, A.C., Dayan, P., Semi-rational models of conditioning: The case of trial order. Chater, N., Oaksford, M., (eds.) The probabilistic mind, 2008, Oxford University Press, Oxford, UK, 431–452.
-
(2008)
The probabilistic mind
, pp. 431-452
-
-
Daw, N.D.1
Courville, A.C.2
Dayan, P.3
-
9
-
-
84992158722
-
Sequential Monte Carlo methods in practice
-
Springer New York
-
Doucet, A., de Freitas, N., Gordon, N., Sequential Monte Carlo methods in practice. 2001, Springer, New York.
-
(2001)
-
-
Doucet, A.1
de Freitas, N.2
Gordon, N.3
-
10
-
-
76749113376
-
Statistically optimal perception and learning: From behavior to neural representations
-
Fiser, J., Berkes, P., Orbán, G., Lengyel, M., Statistically optimal perception and learning: From behavior to neural representations. Trends in Cognitive Sciences 14 (2010), 119–130.
-
(2010)
Trends in Cognitive Sciences
, vol.14
, pp. 119-130
-
-
Fiser, J.1
Berkes, P.2
Orbán, G.3
Lengyel, M.4
-
11
-
-
57149113922
-
Hierarchical models in the brain
-
Friston, K., Hierarchical models in the brain. PLoS Computational Biology, 4(11), 2008, e1000211.
-
(2008)
PLoS Computational Biology
, vol.4
, Issue.11
, pp. e1000211
-
-
Friston, K.1
-
12
-
-
83455200259
-
Multistability and perceptual inference
-
Gershman, S.J., Vul, E., Tenenbaum, J.B., Multistability and perceptual inference. Neural Computation 24 (2012), 1–24.
-
(2012)
Neural Computation
, vol.24
, pp. 1-24
-
-
Gershman, S.J.1
Vul, E.2
Tenenbaum, J.B.3
-
13
-
-
34248560792
-
Topics in semantic representation
-
Griffiths, T.L., Steyvers, M., Tenenbaum, J.B., Topics in semantic representation. Psychological Review, 114(2), 2007, 211.
-
(2007)
Psychological Review
, vol.114
, Issue.2
, pp. 211
-
-
Griffiths, T.L.1
Steyvers, M.2
Tenenbaum, J.B.3
-
14
-
-
84937937938
-
Fast sampling-based inference in balanced neuronal networks
-
Z. Ghahramani M. Welling C. Cortes N. Lawrence K. Weinberger Curran Associates, Inc.
-
Hennequin, G., Aitchison, L., Lengyel, M., Fast sampling-based inference in balanced neuronal networks. Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N., Weinberger, K., (eds.) Advances in neural information processing systems, Vol. 27, 2014, Curran Associates, Inc., 2240–2248.
-
(2014)
Advances in neural information processing systems
, vol.27
, pp. 2240-2248
-
-
Hennequin, G.1
Aitchison, L.2
Lengyel, M.3
-
16
-
-
84937897826
-
Neurons as Monte Carlo samplers: Bayesian inference and learning in spiking networks
-
Z. Ghahramani M. Welling C. Cortes N. Lawrence K. Weinberger Curran Associates, Inc.
-
Huang, Y., Rao, R.P., Neurons as Monte Carlo samplers: Bayesian inference and learning in spiking networks. Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N., Weinberger, K., (eds.) Advances in neural information processing systems, Vol. 27, 2014, Curran Associates, Inc., 1943–1951.
-
(2014)
Advances in neural information processing systems
, vol.27
, pp. 1943-1951
-
-
Huang, Y.1
Rao, R.P.2
-
17
-
-
49449116296
-
The discovery of structural form
-
Kemp, C., Tenenbaum, J.B., The discovery of structural form. Proceedings of the National Academy of Sciences 105:31 (2008), 10687–10692.
-
(2008)
Proceedings of the National Academy of Sciences
, vol.105
, Issue.31
, pp. 10687-10692
-
-
Kemp, C.1
Tenenbaum, J.B.2
-
18
-
-
1642553405
-
Bayesian integration in sensorimotor learning
-
Körding, K., Wolpert, D.M., Bayesian integration in sensorimotor learning. Nature 427 (2004), 244–247.
-
(2004)
Nature
, vol.427
, pp. 244-247
-
-
Körding, K.1
Wolpert, D.M.2
-
19
-
-
0029688244
-
Base rates in category learning
-
Kruschke, J.K., Base rates in category learning. Journal of Experimental Psychology: Learning, Memory, and Cognition 22 (1996), 3–26.
-
(1996)
Journal of Experimental Psychology: Learning, Memory, and Cognition
, vol.22
, pp. 3-26
-
-
Kruschke, J.K.1
-
21
-
-
33750190656
-
Locally Bayesian learning with applications to retrospective revaluation and highlighting
-
Kruschke, J.K., Locally Bayesian learning with applications to retrospective revaluation and highlighting. Psychological Review 113 (2006), 677–699.
-
(2006)
Psychological Review
, vol.113
, pp. 677-699
-
-
Kruschke, J.K.1
-
22
-
-
0042565834
-
Hierarchical Bayesian inference in the visual cortex
-
Lee, T.S., Mumford, D., Hierarchical Bayesian inference in the visual cortex. Journal of the Optical Society of America A 20:7 (2003), 1434–1448.
-
(2003)
Journal of the Optical Society of America A
, vol.20
, Issue.7
, pp. 1434-1448
-
-
Lee, T.S.1
Mumford, D.2
-
23
-
-
84908345348
-
Ensembles of spiking neurons with noise support optimal probabilistic inference in a dynamically changing environment
-
Legenstein, R., Maass, W., Ensembles of spiking neurons with noise support optimal probabilistic inference in a dynamically changing environment. PLoS Computational Biology, 10(10), 2014, e1003859.
-
(2014)
PLoS Computational Biology
, vol.10
, Issue.10
, pp. e1003859
-
-
Legenstein, R.1
Maass, W.2
-
24
-
-
84858769769
-
Modeling the effects of memory on human online sentence processing with particle filters
-
In D. Koller, D. Schuurmans, Y. Bengio & L. Bottou (Eds.)
-
Levy, R., Reali, F., & Griffiths, T. L. (2009). Modeling the effects of memory on human online sentence processing with particle filters. In D. Koller, D. Schuurmans, Y. Bengio & L. Bottou (Eds.), Advances in neural information processing systems (Vol. 21, pp. 937–944).
-
(2009)
Advances in neural information processing systems
, vol.21
, pp. 937-944
-
-
Levy, R.1
Reali, F.2
Griffiths, T.L.3
-
25
-
-
84877775445
-
Burn-in, bias, and the rationality of anchoring
-
Lieder, F., Griffiths, T., & Goodman, N. (2012). Burn-in, bias, and the rationality of anchoring. In Advances in neural information processing systems (pp. 2690–2798).
-
(2012)
Advances in neural information processing systems
, pp. 2690-2798
-
-
Lieder, F.1
Griffiths, T.2
Goodman, N.3
-
26
-
-
0023968459
-
Problem structure and the use of base-rate information from experience
-
Medin, D.L., Edelson, S.M., Problem structure and the use of base-rate information from experience. Journal of Experimental Psychology: General 117 (1988), 68–85.
-
(1988)
Journal of Experimental Psychology: General
, vol.117
, pp. 68-85
-
-
Medin, D.L.1
Edelson, S.M.2
-
28
-
-
79961045634
-
Bayesian sampling in visual perception
-
Moreno-Bote, R., Knill, D.C., Pouget, A., Bayesian sampling in visual perception. Proceedings of the National Academy of Sciences 108:30 (2011), 12491–12496.
-
(2011)
Proceedings of the National Academy of Sciences
, vol.108
, Issue.30
, pp. 12491-12496
-
-
Moreno-Bote, R.1
Knill, D.C.2
Pouget, A.3
-
29
-
-
0004087397
-
Probabilistic inference using Markov chain Monte Carlo methods
-
Department of Computer Science, University of Toronto
-
Neal, R. M. (1993). Probabilistic inference using Markov chain Monte Carlo methods. Tech. rep. no. CRG-TR-93-1. Department of Computer Science, University of Toronto.
-
(1993)
Tech. rep. no. CRG-TR-93-1
-
-
Neal, R.M.1
-
30
-
-
84923294221
-
Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons
-
Probst, D., Petrovici, M.A., Bytschok, I., Bill, J., Pecevski, D., Schemmel, J., et al. Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons. Frontiers in Computational Neuroscience, 9, 2015.
-
(2015)
Frontiers in Computational Neuroscience
, vol.9
-
-
Probst, D.1
Petrovici, M.A.2
Bytschok, I.3
Bill, J.4
Pecevski, D.5
Schemmel, J.6
-
31
-
-
78249247078
-
Rational approximations to the rational model of categorization
-
Sanborn, A.N., Griffiths, T.L., Navarro, D.J., Rational approximations to the rational model of categorization. Psychological Review 117 (2010), 1144–1167.
-
(2010)
Psychological Review
, vol.117
, pp. 1144-1167
-
-
Sanborn, A.N.1
Griffiths, T.L.2
Navarro, D.J.3
-
32
-
-
84882828246
-
Constraining bridges between levels of analysis: A computational justification for locally Bayesian learning
-
Sanborn, A.N., Silva, R., Constraining bridges between levels of analysis: A computational justification for locally Bayesian learning. Journal of Mathematical Psychology, 2013.
-
(2013)
Journal of Mathematical Psychology
-
-
Sanborn, A.N.1
Silva, R.2
-
33
-
-
84946259125
-
Forward and backward blocking in human contingency judgment
-
Shanks, D.R., Forward and backward blocking in human contingency judgment. Quarterly Journal of Experimental Psychology 97B (1985), 1–21.
-
(1985)
Quarterly Journal of Experimental Psychology
, vol.97B
, pp. 1-21
-
-
Shanks, D.R.1
-
34
-
-
84858731044
-
Neural implementation of hierarchical Bayesian inference by importance sampling
-
Shi, L., & Griffiths, T. L. (2009). Neural implementation of hierarchical Bayesian inference by importance sampling. In Advances in neural information processing systems (pp. 1669–1677).
-
(2009)
Advances in neural information processing systems
, pp. 1669-1677
-
-
Shi, L.1
Griffiths, T.L.2
-
35
-
-
77957277972
-
Exemplar models as a mechanism for performing Bayesian inference
-
Shi, L., Griffiths, T.L., Feldman, N.H., Sanborn, A.N., Exemplar models as a mechanism for performing Bayesian inference. Psychological Bulletin and Review 17 (2010), 443–464.
-
(2010)
Psychological Bulletin and Review
, vol.17
, pp. 443-464
-
-
Shi, L.1
Griffiths, T.L.2
Feldman, N.H.3
Sanborn, A.N.4
-
36
-
-
84959810873
-
A behavioral model of rational choice
-
Simon, H.A., A behavioral model of rational choice. The Quarterly Journal of Economics 69:1 (1955), 99–118.
-
(1955)
The Quarterly Journal of Economics
, vol.69
, Issue.1
, pp. 99-118
-
-
Simon, H.A.1
-
37
-
-
33749528973
-
Combining priors and noisy visual cues in a rapid pointing task
-
Tassinari, H., Hudson, T.E., Landy, M.S., Combining priors and noisy visual cues in a rapid pointing task. The Journal of Neuroscience 26:40 (2006), 10154–10163.
-
(2006)
The Journal of Neuroscience
, vol.26
, Issue.40
, pp. 10154-10163
-
-
Tassinari, H.1
Hudson, T.E.2
Landy, M.S.3
-
39
-
-
49949096946
-
The tractable cognition thesis
-
Van Rooij, I., The tractable cognition thesis. Cognitive Science 32:6 (2008), 939–984.
-
(2008)
Cognitive Science
, vol.32
, Issue.6
, pp. 939-984
-
-
Van Rooij, I.1
-
40
-
-
65749118363
-
Graphical models, exponential families, and variational inference
-
Wainwright, M.J., Jordan, M.I., Graphical models, exponential families, and variational inference. Foundations and Trends® in Machine Learning 1:1–2 (2008), 1–305.
-
(2008)
Foundations and Trends® in Machine Learning
, vol.1
, Issue.1-2
, pp. 1-305
-
-
Wainwright, M.J.1
Jordan, M.I.2
|