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Naturalistic stimuli, such as movies, activate a substantial portion of the human brain, invoking a response shared across individuals. Encoding models that predict neural responses to arbitrary stimuli can be very useful for studying brain function. However, existing models focus on limited aspects of naturalistic stimuli, ignoring the dynamic interactions of modalities in this inherently context-rich paradigm. Using movie-watching data from the Human Connectome Project, we build group-leveldoi:10.1126/sciadv.abe7547 pmid:34049888 pmcid:PMC8163078 fatcat:jh6hpfzbznbmvpy3yy2oftfkbu