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

Author:

Taubert Nick1ORCID,Stettler Michael12ORCID,Siebert Ramona3ORCID,Spadacenta Silvia3ORCID,Sting Louisa1,Dicke Peter3,Thier Peter3ORCID,Giese Martin A1ORCID

Affiliation:

1. Section for Computational Sensomotorics, Centre for Integrative Neuroscience & Hertie Institute for Clinical Brain Research, University Clinic Tübingen, Tübingen, Germany

2. International Max Planck Research School for Intelligent Systems (IMPRS-IS), Tübingen, Germany

3. Department of Cognitive Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany

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 human observers learned cross-species expressions very quickly, where face dynamics was represented largely independently of facial shape. This result supports the co-evolution of the visual processing and motor control of facial expressions, while it challenges appearance-based neural network theories of dynamic expression recognition.

Funder

Human Frontier Science Program

Bundesministerium für Bildung und Forschung

Baden-Württemberg Stiftung

Deutsche Forschungsgemeinschaft

Nvidia

European Research Council

EC CogIMon H2020

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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