Fast and robust visual object recognition in young children DOI Creative Commons
Vladislav Ayzenberg, Sukran Bahar Sener, Kylee Novick

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 16, 2024

Abstract By adulthood, humans rapidly identify objects from sparse visual displays and across significant disruptions to their appearance. What are the minimal conditions needed achieve robust recognition abilities when might these develop? To answer questions, we investigated upper-limits of children’s object abilities. We found that children as young 3 years successfully identified at speeds 100 ms (both forward backward masked) under disrupted viewing conditions. contrast, a range computational models implemented with biologically informed properties or optimized for did not reach child-level performance. Models only matched if they received more examples than capable experiencing. These findings highlight robustness human system in absence extensive experience important developmental constraints building plausible machines. Teaser The preschool rival those state-of-the-art artificial intelligence models.

Language: Английский

Fast and robust visual object recognition in young children DOI Creative Commons
Vladislav Ayzenberg, Sukran Bahar Sener, Kylee Novick

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 16, 2024

Abstract By adulthood, humans rapidly identify objects from sparse visual displays and across significant disruptions to their appearance. What are the minimal conditions needed achieve robust recognition abilities when might these develop? To answer questions, we investigated upper-limits of children’s object abilities. We found that children as young 3 years successfully identified at speeds 100 ms (both forward backward masked) under disrupted viewing conditions. contrast, a range computational models implemented with biologically informed properties or optimized for did not reach child-level performance. Models only matched if they received more examples than capable experiencing. These findings highlight robustness human system in absence extensive experience important developmental constraints building plausible machines. Teaser The preschool rival those state-of-the-art artificial intelligence models.

Language: Английский

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