Easy fMRI is an open source toolbox for the Human Brain Mapping and Decoding. This project is developing by Tony M. Yousefnezhad. This toolbox employs advanced machine learning techniques and high-performance computing for analyzing task-based fMRI datasets. It provides a friendly GUI-based environment for applying Feature Analysis, Hyperalignment, Multi-voxel Pattern Analysis (MVPA), Representational Similarity Analysis (RSA), and more. Further, easy fMRI is integrated with FSL (for preprocessing steps), SciKit-Learn (for model analysis), PyTorch (for deep approaches), and AFNI and SUMA (for 3D visualization).

For feedback and support, please contact us: myousefnezhad [at] ualberta [dot] ca