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Perspectives on Psychological Science : a Journal of the Association for Psychological Science
|
July 31, 2016
Sifting Signal From Noise With Replication Science
Chandra 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 mystery
Chandra 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-control
Alexander 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 Modeling
Aman 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 networks
Daiwei 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 brain
James 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 matter
Daniel 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 accumulation
Alexander 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 machine
Takanori 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 brain
Chandra Sripada, Mike Angstadt, Saige Rutherford, et al.
Page
of 7
Search research articles
Search
Showing results (11-20 of 69) with videos related to
Sort By:
Page
of 7
Perspectives on Psychological Science : a Journal of the Association for Psychological Science
|
July 31, 2016
Sifting Signal From Noise With Replication Science
Chandra 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 mystery
Chandra 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-control
Alexander 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 Modeling
Aman 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 networks
Daiwei 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 brain
James 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 matter
Daniel 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 accumulation
Alexander 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 machine
Takanori 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 brain
Chandra Sripada, Mike Angstadt, Saige Rutherford, et al.
Page
of 7