title: 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.,kickingismaking 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 selected from the internet involving different actors, objects, and settings. Action category was decodable across visual formats in bilateral inferior parietal, bilateral occipitotemporal, left premotor, and left middle frontal cortex. In most of these regions, the representational similarity of action categories was consistent across subjects and visual formats, a property that can contribute to a common understanding of actions among individuals. These results suggest that the identified brain regions support action category codes that are important for action recognition and action understanding.SIGNIFICANCE STATEMENTHumans tend to interpret the observed actions of others in terms of categories that are invariant to incidental features: whether a girl pushes a boy or a button and whether we see it in real-time or in a single snapshot, it is stillpushingHere, we investigated the brain systems that facilitate the visual recognition of these action categories across such differences. Using fMRI, we identified several areas of parietal, occipitotemporal, and frontal cortex that exhibit action category codes that are similar across viewing of dynamic videos and still photographs. Our results provide strong evidence for the involvement of these brain regions in recognizing the way that people interact physically with objects and other people.
authors.affiliation: Department of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania 19104 ahafri@sas.upenn.edu.
authors.forename: Alon
authors.identifier: 0000-0002-9525-8690
authors.initials: A
authors.lastname: Hafri
authors.affiliation: Department of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
authors.forename: John C
authors.initials: JC
authors.lastname: Trueswell
authors.affiliation: Department of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
authors.forename: Russell A
authors.initials: RA
authors.lastname: Epstein
mesh_terms: D000293:Adolescent; D000328:Adult; D002540:Cerebral Cortex / Q000502:physiology*; D003198:Computer Simulation; D003210:Concept Formation / Q000502:physiology; D005260:Female; D006801:Humans; D007398:Interpersonal Relations; D008297:Male; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D021641:Recognition, Psychology / Q000502:physiology*; D014794:Visual Fields / Q000502:physiology*; D014796:Visual Perception / Q000502:physiology*; D055815:Young Adult
keywords: action recognition; fMRI; inferior parietal; multivoxel pattern analysis; occipitotemporal; premotor