Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Thomas L Griffiths

Showing results (81-90 of 207) with videos related to

Pageof 21
Sort By:
Cognitive Science|December 22, 2016
Learning to Be (In)variant: Combining Prior Knowledge and Experience to Infer Orientation Invariance in Object RecognitionJoseph L Austerweil, Thomas L Griffiths, Stephen E Palmer
Nature Human Behaviour|February 26, 2021
A rational model of the Dunning-Kruger effect supports insensitivity to evidence in low performersRachel A Jansen, Anna N Rafferty, Thomas L Griffiths
Psychological Bulletin|May 2, 2012
How the Bayesians got their beliefs (and what those beliefs actually are): comment on Bowers and Davis (2012)Thomas L Griffiths, Nick Chater, Dennis Norris, et al.
Trends in Cognitive Sciences|May 29, 2017
Evolution in Mind: Evolutionary Dynamics, Cognitive Processes, and Bayesian InferenceJordan W Suchow, David D Bourgin, Thomas L Griffiths
Cognitive Psychology|August 26, 2009
Uncovering mental representations with Markov chain Monte CarloAdam N Sanborn, Thomas L Griffiths, Richard M Shiffrin
Open Mind : Discoveries in Cognitive Science|July 11, 2025
Considering What We Know and What We Don't Know: Expectations and Confidence Guide Value Integration in Value-Based Decision-MakingRomy Frömer, Frederick Callaway, Thomas L Griffiths, et al.
Journal of Experimental Psychology. General|June 16, 2025
When to keep trying and when to let go: Benchmarking optimal quittingNikolay Sukhov, Rachit Dubey, Annie Duke, et al.
Topics in Cognitive Science|August 5, 2016
Exploring Human Cognition Using Large Image DatabasesThomas L Griffiths, Joshua T Abbott, Anne S Hsu
Proceedings of the National Academy of Sciences of the United States of America|February 20, 2025
Explicitly unbiased large language models still form biased associationsXuechunzi Bai, Angelina Wang, Ilia Sucholutsky, et al.
Nature Communications|October 28, 2020
Capturing human categorization of natural images by combining deep networks and cognitive modelsRuairidh M Battleday, Joshua C Peterson, Thomas L Griffiths
Pageof 21

Showing results (81-90 of 207) with videos related to

Sort By:
Pageof 21
Cognitive Science|December 22, 2016
Learning to Be (In)variant: Combining Prior Knowledge and Experience to Infer Orientation Invariance in Object RecognitionJoseph L Austerweil, Thomas L Griffiths, Stephen E Palmer
Nature Human Behaviour|February 26, 2021
A rational model of the Dunning-Kruger effect supports insensitivity to evidence in low performersRachel A Jansen, Anna N Rafferty, Thomas L Griffiths
Psychological Bulletin|May 2, 2012
How the Bayesians got their beliefs (and what those beliefs actually are): comment on Bowers and Davis (2012)Thomas L Griffiths, Nick Chater, Dennis Norris, et al.
Trends in Cognitive Sciences|May 29, 2017
Evolution in Mind: Evolutionary Dynamics, Cognitive Processes, and Bayesian InferenceJordan W Suchow, David D Bourgin, Thomas L Griffiths
Cognitive Psychology|August 26, 2009
Uncovering mental representations with Markov chain Monte CarloAdam N Sanborn, Thomas L Griffiths, Richard M Shiffrin
Open Mind : Discoveries in Cognitive Science|July 11, 2025
Considering What We Know and What We Don't Know: Expectations and Confidence Guide Value Integration in Value-Based Decision-MakingRomy Frömer, Frederick Callaway, Thomas L Griffiths, et al.
Journal of Experimental Psychology. General|June 16, 2025
When to keep trying and when to let go: Benchmarking optimal quittingNikolay Sukhov, Rachit Dubey, Annie Duke, et al.
Topics in Cognitive Science|August 5, 2016
Exploring Human Cognition Using Large Image DatabasesThomas L Griffiths, Joshua T Abbott, Anne S Hsu
Proceedings of the National Academy of Sciences of the United States of America|February 20, 2025
Explicitly unbiased large language models still form biased associationsXuechunzi Bai, Angelina Wang, Ilia Sucholutsky, et al.
Nature Communications|October 28, 2020
Capturing human categorization of natural images by combining deep networks and cognitive modelsRuairidh M Battleday, Joshua C Peterson, Thomas L Griffiths
Pageof 21