The shared response model provides a simple but effective framework to analyse fMRI data of subjects exposed to naturalistic stimuli.
However when the number of subjects or runs is large, fitting the model requires a large amount of memory and computational power, which limits its use in practice.
The FastSRM algorithm provides considerable speed-up in time and memory usage, hence it allows easy and fast large-scale analysis of naturalistic-stimulus fMRI data.
FastSRM is freely available: https://github.com/hugorichard/FastSRM. Vanillay SRM is not identifiable. In the last release of FastSRM, an identifiable version of FastSRM is available.
Richard, H., Martin, L., Pinho, A. L., Pillow, J., & Thirion, B. (2019). Fast shared response model for fMRI data. arXiv preprint arXiv:1909.12537.