E
Edward Vul
Researcher at University of California, San Diego
Publications - 113
Citations - 10301
Edward Vul is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Bayesian probability & Bayesian inference. The author has an hindex of 36, co-authored 105 publications receiving 8968 citations. Previous affiliations of Edward Vul include Massachusetts Institute of Technology & University of California, Los Angeles.
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Journal ArticleDOI
Distributed practice in verbal recall tasks: A review and quantitative synthesis.
TL;DR: A meta-analysis of the distributed practice effect suggests that ISI and retention interval operate jointly to affect final-test retention; specifically, the ISI producing maximal retention increased as retention interval increased.
Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social
TL;DR: In this paper, the authors of 55 articles that reported findings of high correlations were surveyed to determine a few details on how these correlations were computed and found that these correlations are higher than should be expected given the (evidently limited) reliability of both fMRI and personality measures.
Journal ArticleDOI
Puzzlingly high correlations in fMRI studies of emotion, personality, and social cognition.
TL;DR: It is argued that, in some cases, other analysis problems likely created entirely spurious correlations and the data from these studies could be reanalyzed with unbiased methods to provide accurate estimates of the correlations in question and urge authors to perform such reanalyses.
Journal ArticleDOI
Scanning the horizon: towards transparent and reproducible neuroimaging research
Russell A. Poldrack,Chris I. Baker,Joke Durnez,Krzysztof J. Gorgolewski,Paul M. Matthews,Marcus R. Munafò,Thomas E. Nichols,Jean-Baptiste Poline,Edward Vul,Tal Yarkoni +9 more
TL;DR: How the field of functional MRI should evolve is described to produce the most meaningful and reliable answers to neuroscientific questions.
Journal ArticleDOI
Spacing Effects in Learning A Temporal Ridgeline of Optimal Retention
Nicholas J. Cepeda,Nicholas J. Cepeda,Edward Vul,Edward Vul,Doug Rohrer,John T. Wixted,Harold Pashler +6 more
TL;DR: In this article, a study aimed at characterizing spacing effects over significant durations, more than 1,350 individuals were taught a set of facts and given a review after a gap of up to 3.5 months.