Neural Representations of Observed Actions Generalize across Static and Dynamic Visual Input.

ABSTRACT: People interact with entities in the environment in distinct and categorizable ways (e.g., kicking is making contact with foot). We can recognize these action categories across variations in actors, objects, and settings; moreover, we can recognize them from both dynamic and static visual input. However, the neural systems that support action recognition across these perceptual differences are unclear. Here, we used multivoxel pattern analysis of fMRI data to identify brain regions that support visual action categorization in a format-independent way. Human participants were scanned while viewing eight categories of interactions (e.g., pulling) depicted in two visual formats: (1) visually controlled videos of two interacting actors and (2) visually varied photographs s

SUBMITTER: Hafri A 

PROVIDER: S-EPMC6596723 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature