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Perceptual reorganization from prior knowledge emerges late in childhood.
Milne, Georgia A; Lisi, Matteo; McLean, Aisha; Zheng, Rosie; Groen, Iris I A; Dekker, Tessa M.
Affiliation
  • Milne GA; Institute of Ophthalmology, University College London, EC1V 9EL London, UK.
  • Lisi M; Division of Psychology and Language Sciences, University College London, WC1H 0AP London, UK.
  • McLean A; Department of Psychology, Royal Holloway, University of London, TW20 0EX London, UK.
  • Zheng R; Institute of Ophthalmology, University College London, EC1V 9EL London, UK.
  • Groen IIA; Informatics Institute, University of Amsterdam, 1098 XH Amsterdam, the Netherlands.
  • Dekker TM; Informatics Institute, University of Amsterdam, 1098 XH Amsterdam, the Netherlands.
iScience ; 27(2): 108787, 2024 Feb 16.
Article in En | MEDLINE | ID: mdl-38303715
ABSTRACT
Human vision relies heavily on prior knowledge. Here, we show for the first time that prior-knowledge-induced reshaping of visual inputs emerges gradually in late childhood. To isolate the effects of prior knowledge on perception, we presented 4- to 12-year-olds and adults with two-tone images - hard-to-recognize degraded photos. In adults, seeing the original photo triggers perceptual reorganization, causing mandatory recognition of the two-tone version. This involves top-down signaling from higher-order brain areas to early visual cortex. We show that children younger than 7-9 years do not experience this knowledge-guided shift, despite viewing the original photo immediately before each two-tone. To assess computations underlying this development, we compared human performance to three neural networks with varying architectures. The best-performing model behaved much like 4- to 5-year-olds, displaying feature-based rather than holistic processing strategies. The reconciliation of prior knowledge with sensory input undergoes a striking age-related shift, which may underpin the development of many perceptual abilities.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: IScience Year: 2024 Document type: Article Affiliation country: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: IScience Year: 2024 Document type: Article Affiliation country: United kingdom