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 relies on an intermediate atlas-based representation. It 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
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