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ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
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Dataset: Methods For Computing The Maximum Performance Of Computational Models Of Fmri Responses.

Authors: Lage-Castellanos, Agustin; Valente, Giancarlo; Formisano, Elia; Martino, Federico De;

Dataset: Methods For Computing The Maximum Performance Of Computational Models Of Fmri Responses.

Abstract

Accompanying data for manuscript: Methods for computing the maximum performance of computational models of fMRI responses. written by Agustin Lage-Castellanos, Giancarlo Valente, Elia Formisano, Federico De Martino, submitted for publication in Plos Computational Biology, July 2018. This dataset provide the Betas for subcortical and a subset of the cortical voxels for three subjects in matlab format. The field bTest refers to the Beta coefficients for every voxel in the test data. The fields beta1 and beta2 refer to the split-half partitions of the bTest coefficients. The field varBparam refers to the parametric variances of the Beta coefficients and the field varBBootstrap refers to the variances of the Betas computed with bootstrap.

Acknowledgments: This work was financed by the Netherlands Organisation for Scientific Research (NWO). The authors ALC and FDM as well as data acquisition were supported by NWO VIDI grant 864-13-012.

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Keywords

fMRI, encoding models

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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