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Brain and Cognition
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August 1, 2015
Types of approximation for probabilistic cognition: Sampling and variational
Adam N Sanborn
Frontiers in Psychology
|
September 11, 2014
Testing Bayesian and heuristic predictions of mass judgments of colliding objects
Adam N Sanborn
Current Opinion in Neurobiology
|
March 15, 2019
What does the mind learn? A comparison of human and machine learning representations
Jake Spicer, Adam N Sanborn
Trends in Cognitive Sciences
|
March 23, 2017
Bayesian Brains without Probabilities
Adam N Sanborn, Nick Chater
Trends in Cognitive Sciences
|
June 18, 2017
The Sampling Brain
Adam N Sanborn, Nick Chater
Journal of Vision
|
December 14, 2011
Optimal decisions for contrast discrimination
Adam N Sanborn, Peter Dayan
Plos Computational Biology
|
April 13, 2016
Fast and Accurate Learning When Making Discrete Numerical Estimates
Adam N Sanborn, Ulrik R Beierholm
Psychonomic Bulletin & Review
|
October 9, 2013
The frequentist implications of optional stopping on Bayesian hypothesis tests
Adam N Sanborn, Thomas T Hills
Journal of Experimental Psychology. Learning, Memory, and Cognition
|
December 12, 2024
Learning from missing feedback: Exemplar versus model-based methods
Jerker Denrell, Adam N Sanborn, Jake Spicer
Plos One
|
March 27, 2014
Better quality sleep promotes daytime physical activity in patients with chronic pain? A multilevel analysis of the within-person relationship
Nicole K Y Tang, Adam N Sanborn
Page
of 4
Search research articles
Search
Showing results (1-10 of 38) with videos related to
Sort By:
Page
of 4
Brain and Cognition
|
August 1, 2015
Types of approximation for probabilistic cognition: Sampling and variational
Adam N Sanborn
Frontiers in Psychology
|
September 11, 2014
Testing Bayesian and heuristic predictions of mass judgments of colliding objects
Adam N Sanborn
Current Opinion in Neurobiology
|
March 15, 2019
What does the mind learn? A comparison of human and machine learning representations
Jake Spicer, Adam N Sanborn
Trends in Cognitive Sciences
|
March 23, 2017
Bayesian Brains without Probabilities
Adam N Sanborn, Nick Chater
Trends in Cognitive Sciences
|
June 18, 2017
The Sampling Brain
Adam N Sanborn, Nick Chater
Journal of Vision
|
December 14, 2011
Optimal decisions for contrast discrimination
Adam N Sanborn, Peter Dayan
Plos Computational Biology
|
April 13, 2016
Fast and Accurate Learning When Making Discrete Numerical Estimates
Adam N Sanborn, Ulrik R Beierholm
Psychonomic Bulletin & Review
|
October 9, 2013
The frequentist implications of optional stopping on Bayesian hypothesis tests
Adam N Sanborn, Thomas T Hills
Journal of Experimental Psychology. Learning, Memory, and Cognition
|
December 12, 2024
Learning from missing feedback: Exemplar versus model-based methods
Jerker Denrell, Adam N Sanborn, Jake Spicer
Plos One
|
March 27, 2014
Better quality sleep promotes daytime physical activity in patients with chronic pain? A multilevel analysis of the within-person relationship
Nicole K Y Tang, Adam N Sanborn
Page
of 4