Article

A developmentally inspired computational model of face recognition that learns continuously through generative memory replay

2025-11-28

Abstract excerpt

Deep convolutional neural networks (DCNNs) have emerged as powerful models for human face recognition, capturing several hallmark behavioral phenomena such as the face inversion effect and the other-race effect. Yet, key differences remain between how DCNNs and humans, particularly infants, learn to recognize faces. In this study, we present a developmentally-inspired model that addresses three critical gaps betwe...

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Literature Corpus work: 2155cb8e-b79e-5ede-9f12-e0c43d634260
DOI: 10.1101/2025.11.25.690208

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