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Showing 1–7 of 7 results
Advanced filters: Author: Tal Yarkoni Clear advanced filters

  • A framework and web interface for the large-scale and automated synthesis of human neuroimaging data extracted from the literature is presented. It is used to generate a large database of mappings between neural and cognitive states and to address long-standing inferential problems in the neuroimaging literature.

    • Tal Yarkoni
    • Russell A Poldrack
    • Tor D Wager
    Research
    Nature Methods
    Volume: 8, P: 665-670

  • Neuroimaging methods are beginning to provide promising ways of understanding the functional organization of the brain across species.

    • Tor D Wager
    • Tal Yarkoni
    News & Views
    Nature Methods
    Volume: 9, P: 237-239

  • Neuroimaging techniques are increasingly applied by the wider neuroscience community. However, problems such as low statistical power, flexibility in data analysis and software issues pose challenges to interpreting neuroimaging data in a meaningful and reliable way. Here, Poldracket al. discuss these and other problems, and suggest solutions.

    • Russell A. Poldrack
    • Chris I. Baker
    • Tal Yarkoni
    Research
    Nature Reviews Neuroscience
    Volume: 18, P: 115-126

  • In response to recommendations to redefine statistical significance to P ≤ 0.005, we propose that researchers should transparently report and justify all choices they make when designing a study, including the alpha level.

    • Daniel Lakens
    • Federico G. Adolfi
    • Rolf A. Zwaan
    Comments & Opinion
    Nature Human Behaviour
    Volume: 2, P: 168-171

  • The combination of computational and social sciences requires the integration of explanatory and predictive approaches into ‘integrative modelling’, according to Hofman and colleagues.

    • Jake M. Hofman
    • Duncan J. Watts
    • Tal Yarkoni
    Reviews
    Nature
    Volume: 595, P: 181-188

  • fMRIPrep is an open-source software tool to ready fMRI datasets for statistical analysis and modeling that is robust to a diversity of inputs and produces standardized outputs, facilitating aggregation of data across studies.

    • Oscar Esteban
    • Rastko Ciric
    • Krzysztof J. Gorgolewski
    Protocols
    Nature Protocols
    Volume: 15, P: 2186-2202