|
3
|
Semi-rational Models of Conditioning: The Case of Trial Order
– Nathaniel D. Daw, Aaron C. Courville, Peter Dayan
- 2007
|
|
16
|
Locally Bayesian Learning with Applications to Retrospective Revaluation and Highlighting
– John K. Kruschke
- 2006
|
|
2
|
Locally Bayesian Learning
– John K. Kruschke
|
|
2
|
Context, Learning, and Extinction
– Samuel J. Gershman, David M. Blei, Yael Niv
|
|
|
Explaining Away in Weight Space
– Peter Dayan Sham, Peter Dayan, Sham Kakade
|
|
14
|
Explaining Away in Weight Space
– Peter Dayan, Sham Kakade
- 2000
|
|
1
|
Learning in a changing environment
– Maarten Speekenbrink, David R. Shanks
- 2009
|
|
2
|
Inferring Position Knowledge from Location Predicates
– Jörg Roth
- 2007
|
|
1
|
A survey of sequential Monte Carlo methods for economics and finance
– Drew Creal
- 2009
|
|
|
What is This?
– Jose-luis Blanco, Javier González, Juan-antonio Fernández-madrigal, Jose-luis Blanco, Javier González
|
|
|
Perceptual learning and representational learning in
– József Fiser
|
|
1
|
Trial-by-trial data analysis using computational models
– Nathaniel D. Daw
- 2009
|
|
2
|
Bayesian Analysis of Interleaved Learning and Response Bias in Behavioral Experiments
– Anne C. Smith, Sylvia Wirth, Wendy A. Suzuki, Emery N. Brown
- 2007
|
|
|
Reprints and permission: sagepub.com/journalsPermissions.nav
– Daniel A. Sternberg, James L. Mcclell
|
|
23
|
Theory-based causal induction
– Thomas L. Griffiths, Joshua B. Tenenbaum
- 2003
|
|
|
Uncertainty and dependency in causal inference
– Christopher D. Carroll, Patricia W. Cheng, Hongjing Lu
|
|
|
Centre single caption. cf. [no comma]. RJ OCR scanned
– Klaus G. Melchers, Harald Lachnit, David R. Shanks
|
|
|
Animal Learning & Behavior
– Nuria Ortega, Oskar Pineño
|
|
|
Novelty and Inductive Generalization in Human Reinforcement Learning
– Yael Niv
|
