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

John E Laird

Showing results (1-10 of 4) with videos related to

Pageof 1
Sort By:
Cognitive Science|June 6, 2022
Modeling the Remote Associates Test as Retrievals from Semantic MemoryJule Schatz, Steven J Jones, John E Laird
Military Medicine|October 3, 2013
Patient greeting preferences for themselves and their providers in a military family medicine clinicJohn E Laird, Jerlyn C Tolentino, Cynthia Gray
Topics in Cognitive Science|August 29, 2014
Exploring the functional advantages of spatial and visual cognition from an architectural perspectiveScott D Lathrop, Samuel Wintermute, John E Laird
Neuroimage|April 10, 2021
Analysis of the human connectome data supports the notion of a "Common Model of Cognition" for human and human-like intelligence across domainsAndrea Stocco, Catherine Sibert, Zoe Steine-Hanson, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Cognitive Science|June 6, 2022
Modeling the Remote Associates Test as Retrievals from Semantic MemoryJule Schatz, Steven J Jones, John E Laird
Military Medicine|October 3, 2013
Patient greeting preferences for themselves and their providers in a military family medicine clinicJohn E Laird, Jerlyn C Tolentino, Cynthia Gray
Topics in Cognitive Science|August 29, 2014
Exploring the functional advantages of spatial and visual cognition from an architectural perspectiveScott D Lathrop, Samuel Wintermute, John E Laird
Neuroimage|April 10, 2021
Analysis of the human connectome data supports the notion of a "Common Model of Cognition" for human and human-like intelligence across domainsAndrea Stocco, Catherine Sibert, Zoe Steine-Hanson, et al.
Pageof 1