Tal Yarkoni
Affiliations: | Psychology | University of Colorado, Boulder, Boulder, CO, United States |
Area:
fMRI, cognitive control, decision-makingWebsite:
http://talyarkoni.comGoogle:
"Tal Yarkoni"Mean distance: 14.88 (cluster 23) | S | N | B | C | P |
Cross-listing: PsychTree
Parents
Sign in to add mentor| Todd S. Braver | grad student | 2003-2009 | Washington University | |
| (The role of strategy in decision-making under risk: An fMRI investigation.) | ||||
| Tor D. Wager | post-doc | 2009- | CU Boulder | |
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Publications
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| de la Vega A, Rocca R, Blair RW, et al. (2022) Neuroscout, a unified platform for generalizable and reproducible fMRI research. Elife. 11 |
| Esteban O, Ciric R, Finc K, et al. (2020) Analysis of task-based functional MRI data preprocessed with fMRIPrep. Nature Protocols |
| Dockès J, Poldrack RA, Primet R, et al. (2020) NeuroQuery, comprehensive meta-analysis of human brain mapping. Elife. 9 |
| Dockès J, Poldrack RA, Primet R, et al. (2020) Author response: NeuroQuery, comprehensive meta-analysis of human brain mapping Elife |
| Poldrack RA, Feingold F, Frank MJ, et al. (2019) The importance of standards for sharing of computational models and data. Computational Brain & Behavior. 2: 229-232 |
| Müller VI, Cieslik EC, Laird AR, et al. (2018) Ten simple rules for neuroimaging meta-analysis. Neuroscience and Biobehavioral Reviews. 84: 151-161 |
| Cremers HR, Wager TD, Yarkoni T. (2017) The relation between statistical power and inference in fMRI. Plos One. 12: e0184923 |
| Rubin TN, Koyejo O, Gorgolewski KJ, et al. (2017) Decoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition. Plos Computational Biology. 13: e1005649 |
| de la Vega A, Yarkoni T, Wager TD, et al. (2017) Large-scale Meta-analysis Suggests Low Regional Modularity in Lateral Frontal Cortex. Cerebral Cortex (New York, N.Y. : 1991). 1-15 |
| Yarkoni T, Westfall J. (2017) Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning. Perspectives On Psychological Science : a Journal of the Association For Psychological Science. 1745691617693393 |