Tal Yarkoni

Affiliations: 
Psychology University of Colorado, Boulder, Boulder, CO, United States 
Area:
fMRI, cognitive control, decision-making
Website:
http://talyarkoni.com
Google:
"Tal Yarkoni"
Cross-listing: Neurotree

Parents

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Todd S. Braver grad student 2003-2009 Washington University (Neurotree)
 (The role of strategy in decision-making under risk: An fMRI investigation.)
Tor D. Wager post-doc 2009- CU Boulder (Neurotree)
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Publications

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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
Yarkoni T, Markiewicz CJ, de la Vega A, et al. (2019) PyBIDS: Python tools for BIDS datasets. Journal of Open Source Software. 4
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
Gorgolewski KJ, Alfaro-Almagro F, Auer T, et al. (2017) BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. Plos Computational Biology. 13: e1005209
Poldrack RA, Baker CI, Durnez J, et al. (2017) Scanning the horizon: towards transparent and reproducible neuroimaging research. Nature Reviews. Neuroscience
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