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.本配套数据集对应论文《功能磁共振成像（fMRI）响应计算模型的最大性能计算方法》，作者为Agustin Lage-Castellanos、Giancarlo Valente、Elia Formisano、Federico De Martino，于2018年7月提交至《PLOS计算生物学（Plos Computational Biology）》待刊。 本数据集以MATLAB格式提供了3名被试的皮层下体素及部分皮层体素对应的贝塔（Betas）值。 字段bTest对应测试数据中每个体素的贝塔（Beta）系数；字段beta1与beta2对应bTest系数的对半划分分区；字段varBparam表示贝塔系数的参数方差，字段varBBootstrap表示通过自助法（bootstrap）计算得到的贝塔值方差。