Invariant recognition drives neural representations of action sequences.

ABSTRACT: Recognizing the actions of others from visual stimuli is a crucial aspect of human perception that allows individuals to respond to social cues. Humans are able to discriminate between similar actions despite transformations, like changes in viewpoint or actor, that substantially alter the visual appearance of a scene. This ability to generalize across complex transformations is a hallmark of human visual intelligence. Advances in understanding action recognition at the neural level have not always translated into precise accounts of the computational principles underlying what representations of action sequences are constructed by human visual cortex. Here we test the hypothesis that invariant action discrimination might fill this gap. Recently, the study of artificial systems for static

SUBMITTER: Tacchetti A 

PROVIDER: S-EPMC5749869 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature