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Showing results (1-10 of 101) with videos related to
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Trends in Cognitive Sciences
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October 31, 2003
Statistical decision theory and evolution
Laurence T Maloney
Journal of Vision
|
April 8, 2003
Illuminant estimation as cue combination
Laurence T Maloney
Journal of Vision
|
January 17, 2009
Estimating classification images with generalized linear and additive models
Kenneth Knoblauch, Laurence T Maloney
Frontiers in Neuroscience
|
February 2, 2012
Ubiquitous log odds: a common representation of probability and frequency distortion in perception, action, and cognition
Hang Zhang, Laurence T Maloney
Plos Computational Biology
|
May 1, 2024
Dissecting Bayes: Using influence measures to test normative use of probability density information derived from a sample
Keiji Ota, Laurence T Maloney
Plos Computational Biology
|
February 10, 2012
Human visual search does not maximize the post-saccadic probability of identifying targets
Camille Morvan, Laurence T Maloney
Annual Review of Vision Science
|
May 19, 2020
Measuring and Modeling Visual Appearance
Laurence T Maloney, Kenneth Knoblauch
Visual Neuroscience
|
February 6, 2009
Bayesian decision theory as a model of human visual perception: testing Bayesian transfer
Laurence T Maloney, Pascal Mamassian
Vision Research
|
October 12, 2010
Decision-theoretic models of visual perception and action
Laurence T Maloney, Hang Zhang
Journal of Vision
|
May 4, 2011
Surface color perception and equivalent illumination models
David H Brainard, Laurence T Maloney
Page
of 11
Search research articles
Search
Showing results (1-10 of 101) with videos related to
Sort By:
Page
of 11
Trends in Cognitive Sciences
|
October 31, 2003
Statistical decision theory and evolution
Laurence T Maloney
Journal of Vision
|
April 8, 2003
Illuminant estimation as cue combination
Laurence T Maloney
Journal of Vision
|
January 17, 2009
Estimating classification images with generalized linear and additive models
Kenneth Knoblauch, Laurence T Maloney
Frontiers in Neuroscience
|
February 2, 2012
Ubiquitous log odds: a common representation of probability and frequency distortion in perception, action, and cognition
Hang Zhang, Laurence T Maloney
Plos Computational Biology
|
May 1, 2024
Dissecting Bayes: Using influence measures to test normative use of probability density information derived from a sample
Keiji Ota, Laurence T Maloney
Plos Computational Biology
|
February 10, 2012
Human visual search does not maximize the post-saccadic probability of identifying targets
Camille Morvan, Laurence T Maloney
Annual Review of Vision Science
|
May 19, 2020
Measuring and Modeling Visual Appearance
Laurence T Maloney, Kenneth Knoblauch
Visual Neuroscience
|
February 6, 2009
Bayesian decision theory as a model of human visual perception: testing Bayesian transfer
Laurence T Maloney, Pascal Mamassian
Vision Research
|
October 12, 2010
Decision-theoretic models of visual perception and action
Laurence T Maloney, Hang Zhang
Journal of Vision
|
May 4, 2011
Surface color perception and equivalent illumination models
David H Brainard, Laurence T Maloney
Page
of 11