A critical period for developing face recognition.

ABSTRACT: Face learning has important critical periods during development. However, the computational mechanisms of critical periods remain unknown. Here, we conducted a series of in silico experiments and showed that, similar to humans, deep artificial neural networks exhibited critical periods during which a stimulus deficit could impair the development of face learning. Face learning could only be restored when providing information within the critical period, whereas, outside of the critical period, the model could not incorporate new information anymore. We further provided a full computational account by learning rate and demonstrated an alternative approach by knowledge distillation and attention transfer to partially recover the model outside of the critical period. We f

SUBMITTER: Wang J 

PROVIDER: S-EPMC10873156 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature