Dataset: Methods for computing the maximum performance of computational models of fMRI responses.

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.本数据集配套于研究手稿《功能磁共振成像（fMRI）响应计算模型的最大性能计算方法》，该手稿由Agustin Lage-Castellanos、Giancarlo Valente、Elia Formisano、Federico De Martino撰写，于2018年7月提交至《PLOS计算生物学》待发表。本数据集以Matlab格式提供了三名被试的皮层下脑区及部分皮层体素的Beta值。其中字段`bTest`指代测试数据中每个体素的Beta系数（Beta coefficient）；字段`beta1`与`beta2`对应bTest系数的折半拆分分区；字段`varBparam`代表Beta系数的参数化方差；字段`varBBootstrap`代表通过自举法（bootstrap）计算得到的Beta值方差。