Shape-invariant encoding of dynamic primate facial expressions in human perception.

ABSTRACT: Dynamic facial expressions are crucial for communication in primates. Due to the difficulty to control shape and dynamics of facial expressions across species, it is unknown how species-specific facial expressions are perceptually encoded and interact with the representation of facial shape. While popular neural network models predict a joint encoding of facial shape and dynamics, the neuromuscular control of faces evolved more slowly than facial shape, suggesting a separate encoding. To investigate these alternative hypotheses, we developed photo-realistic human and monkey heads that were animated with motion capture data from monkeys and humans. Exact control of expression dynamics was accomplished by a Bayesian machine-learning technique. Consistent with our hypothesis, we found that hu

SUBMITTER: Taubert N 

PROVIDER: S-EPMC8195610 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature