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David E Huber

Showing results (21-30 of 68) with videos related to

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Computational Intelligence and Neuroscience|May 18, 2011
TopoToolbox: using sensor topography to calculate psychologically meaningful measures from event-related EEG/MEGXing Tian, David Poeppel, David E Huber
Cognitive Psychology|December 15, 2017
The elimination of positive priming with increasing prime duration reflects a transition from perceptual fluency to disfluency rather than bias against primed wordsKevin W Potter, Chris Donkin, David E Huber
Journal of Experimental Psychology. General|April 29, 2009
Testing signal-detection models of yes/no and two-alternative forced-choice recognition memoryYoonhee Jang, John T Wixted, David E Huber
Plos One|May 19, 2022
A 'compensatory selection' effect with standardized tests: Lack of correlation between test scores and success is evidence that test scores are predictive of successDavid E Huber, Andrew L Cohen, Adrian Staub
Journal of Experimental Psychology. Human Perception and Performance|May 16, 2024
"Leap before you look": Conditions that suppress explicit, knowledge-based learning during visuomotor adaptationTejas Savalia, Rosemary A Cowell, David E Huber
Psychological Review|November 9, 2011
A stochastic detection and retrieval model for the study of metacognitionYoonhee Jang, Thomas S Wallsten, David E Huber
Cognition|April 17, 2013
Multiply-constrained semantic search in the Remote Associates TestKevin A Smith, David E Huber, Edward Vul
Journal of Mathematical Psychology|April 16, 2021
A hierarchical Bayesian state trace analysis for assessing monotonicity while factoring out subject, item, and trial level dependenciesPatrick Sadil, Rosemary A Cowell, David E Huber
Psychonomic Bulletin & Review|May 4, 2011
The diagnosticity of individual data for model selection: comparing signal-detection models of recognition memoryYoonhee Jang, John T Wixted, David E Huber
Communications Biology|November 14, 2022
A modeling framework for determining modulation of neural-level tuning from non-invasive human fMRI dataPatrick Sadil, Rosemary A Cowell, David E Huber
Pageof 7

Showing results (21-30 of 68) with videos related to

Sort By:
Pageof 7
Computational Intelligence and Neuroscience|May 18, 2011
TopoToolbox: using sensor topography to calculate psychologically meaningful measures from event-related EEG/MEGXing Tian, David Poeppel, David E Huber
Cognitive Psychology|December 15, 2017
The elimination of positive priming with increasing prime duration reflects a transition from perceptual fluency to disfluency rather than bias against primed wordsKevin W Potter, Chris Donkin, David E Huber
Journal of Experimental Psychology. General|April 29, 2009
Testing signal-detection models of yes/no and two-alternative forced-choice recognition memoryYoonhee Jang, John T Wixted, David E Huber
Plos One|May 19, 2022
A 'compensatory selection' effect with standardized tests: Lack of correlation between test scores and success is evidence that test scores are predictive of successDavid E Huber, Andrew L Cohen, Adrian Staub
Journal of Experimental Psychology. Human Perception and Performance|May 16, 2024
"Leap before you look": Conditions that suppress explicit, knowledge-based learning during visuomotor adaptationTejas Savalia, Rosemary A Cowell, David E Huber
Psychological Review|November 9, 2011
A stochastic detection and retrieval model for the study of metacognitionYoonhee Jang, Thomas S Wallsten, David E Huber
Cognition|April 17, 2013
Multiply-constrained semantic search in the Remote Associates TestKevin A Smith, David E Huber, Edward Vul
Journal of Mathematical Psychology|April 16, 2021
A hierarchical Bayesian state trace analysis for assessing monotonicity while factoring out subject, item, and trial level dependenciesPatrick Sadil, Rosemary A Cowell, David E Huber
Psychonomic Bulletin & Review|May 4, 2011
The diagnosticity of individual data for model selection: comparing signal-detection models of recognition memoryYoonhee Jang, John T Wixted, David E Huber
Communications Biology|November 14, 2022
A modeling framework for determining modulation of neural-level tuning from non-invasive human fMRI dataPatrick Sadil, Rosemary A Cowell, David E Huber
Pageof 7