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

Chandra Sripada

Showing results (11-20 of 69) with videos related to

Pageof 7
Sort By:
Perspectives on Psychological Science : a Journal of the Association for Psychological Science|July 31, 2016
Sifting Signal From Noise With Replication ScienceChandra Sripada, Daniel Kessler, John Jonides
The Behavioral and Brain Sciences|June 30, 2026
Large language models illuminate the mechanistic underpinnings of the creative aspect of language use (CALU), long regarded as a mysteryChandra Sripada, Andrew McInnerney, Richard L Lewis
Cognition|July 12, 2021
Cognitive efficiency beats top-down control as a reliable individual difference dimension relevant to self-controlAlexander Weigard, D Angus Clark, Chandra Sripada
Cerebral Cortex (New York, N.Y. : 1991)|January 15, 2021
Boost in Test-Retest Reliability in Resting State fMRI with Predictive ModelingAman Taxali, Mike Angstadt, Saige Rutherford, et al.
Journal of the Royal Statistical Society. Series B, Statistical Methodology|April 8, 2024
Image response regression via deep neural networksDaiwei Zhang, Lexin Li, Chandra Sripada, et al.
The Behavioral and Brain Sciences|February 28, 2014
Using big data to map the network organization of the brainJames E Swain, Chandra Sripada, John D Swain
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|December 16, 2014
Modality-spanning deficits in attention-deficit/hyperactivity disorder in functional networks, gray matter, and white matterDaniel Kessler, Michael Angstadt, Robert C Welsh, et al.
Psychonomic Bulletin & Review|February 26, 2026
The diffusion model's drift rate parameter primarily reflects efficiency, rather than speed, of evidence accumulationAlexander Weigard, M Fiona Molloy, Chandra Sripada, et al.
Neuroimage|April 8, 2014
Disease prediction based on functional connectomes using a scalable and spatially-informed support vector machineTakanori Watanabe, Daniel Kessler, Clayton Scott, et al.
Human Brain Mapping|May 5, 2020
Toward a "treadmill test" for cognition: Improved prediction of general cognitive ability from the task activated brainChandra Sripada, Mike Angstadt, Saige Rutherford, et al.
Pageof 7

Showing results (11-20 of 69) with videos related to

Sort By:
Pageof 7
Perspectives on Psychological Science : a Journal of the Association for Psychological Science|July 31, 2016
Sifting Signal From Noise With Replication ScienceChandra Sripada, Daniel Kessler, John Jonides
The Behavioral and Brain Sciences|June 30, 2026
Large language models illuminate the mechanistic underpinnings of the creative aspect of language use (CALU), long regarded as a mysteryChandra Sripada, Andrew McInnerney, Richard L Lewis
Cognition|July 12, 2021
Cognitive efficiency beats top-down control as a reliable individual difference dimension relevant to self-controlAlexander Weigard, D Angus Clark, Chandra Sripada
Cerebral Cortex (New York, N.Y. : 1991)|January 15, 2021
Boost in Test-Retest Reliability in Resting State fMRI with Predictive ModelingAman Taxali, Mike Angstadt, Saige Rutherford, et al.
Journal of the Royal Statistical Society. Series B, Statistical Methodology|April 8, 2024
Image response regression via deep neural networksDaiwei Zhang, Lexin Li, Chandra Sripada, et al.
The Behavioral and Brain Sciences|February 28, 2014
Using big data to map the network organization of the brainJames E Swain, Chandra Sripada, John D Swain
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|December 16, 2014
Modality-spanning deficits in attention-deficit/hyperactivity disorder in functional networks, gray matter, and white matterDaniel Kessler, Michael Angstadt, Robert C Welsh, et al.
Psychonomic Bulletin & Review|February 26, 2026
The diffusion model's drift rate parameter primarily reflects efficiency, rather than speed, of evidence accumulationAlexander Weigard, M Fiona Molloy, Chandra Sripada, et al.
Neuroimage|April 8, 2014
Disease prediction based on functional connectomes using a scalable and spatially-informed support vector machineTakanori Watanabe, Daniel Kessler, Clayton Scott, et al.
Human Brain Mapping|May 5, 2020
Toward a "treadmill test" for cognition: Improved prediction of general cognitive ability from the task activated brainChandra Sripada, Mike Angstadt, Saige Rutherford, et al.
Pageof 7