Neural network modeling of altered facial expression recognition in autism spectrum disorders based on predictive processing framework.

ABSTRACT: The mechanism underlying the emergence of emotional categories from visual facial expression information during the developmental process is largely unknown. Therefore, this study proposes a system-level explanation for understanding the facial emotion recognition process and its alteration in autism spectrum disorder (ASD) from the perspective of predictive processing theory. Predictive processing for facial emotion recognition was implemented as a hierarchical recurrent neural network (RNN). The RNNs were trained to predict the dynamic changes of facial expression movies for six basic emotions without explicit emotion labels as a developmental learning process, and were evaluated by the performance of recognizing unseen facial expressions for the test phase. In addition, the causal relat

SUBMITTER: Takahashi Y 

PROVIDER: S-EPMC8313712 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature