Informative neural representations of unseen contents during higher-order processing in human brains and deep artificial networks

This fMRI dataset was collected for the study "Informative neural representations of unseen contents during higher-order processing in human brains and deep artificial networks". --- Code corresponding to the dataste: https://github.com/nmningmei/unconfeats --- # System Information - [Platform](https://dipc.ehu.es): Linux-3.10.0-514.el7.x86_64-x86_64-with-centos-7.3.1611-Core - CPU: x86_64: 16 cores ## Python environment - Python: 3.6.3 |Anaconda, Inc.| (default, Nov 20 2017, 20:41:42) [GCC 7.2.0] - Numpy: 1.19.1 {blas=mkl_rt, lapack=mkl_rt} - Scipy: 1.3.1 - Matplotlib: 3.1.3 {backend=agg} - Scikit-learn: 0.24.2 - Seaborn: 0.11.1 - Pandas: 1.0.1 - Tensorflow: 2.0.0 - Pytorch: 1.7.1 - Nilearn: 0.7.1 - Nipype: 1.4.2 - [LegrandNico/metadPy](https://github.com/LegrandNico/metadPy) ## R environment - R base - R: 4.0.3 # for 3-way repeated measure ANOVAs ## Brain image processing backends - mricrogl - mricron: 10.2014 - FSL: 6.0.0 - Freesurfer: 6.0.0