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Formal Theories Clarify the Complex: Generalizing a Neural Process Account of the Interaction of Visual Exploration and Word Learning in Infancy

Title: Formal Theories Clarify the Complex: Generalizing a Neural Process Account of the Interaction of Visual Exploration and Word Learning in Infancy
Language: English
Authors: Bhat, Ajaz A. (ORCID 0000-0002-6992-8224); Samuelson, Larissa K. (ORCID 0000-0002-9141-3286); Spencer, John P.
Source: Child Development. 2023 94(6):1491-1510.
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 20
Publication Date: 2023
Sponsoring Agency: Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) (DHHS/NIH)
Contract Number: HD045713
Document Type: Journal Articles; Reports - Research
Descriptors: Infants; Vocabulary Development; Attention; Cognitive Development; Learning Theories; Visual Perception; Auditory Perception
DOI: 10.1111/cdev.14023
ISSN: 0009-3920; 1467-8624
Abstract: The interaction of visual exploration and auditory processing is central to early cognitive development, supporting object discrimination, categorization, and word learning. Research has shown visual-auditory interactions to be complex, created from multiple processes and changing over multiple timescales. To better understand these interactions, we generalize a formal neural process model of early word learning to two studies examining how words impact 9- to 22-month-olds' attention to novelty. These simulations clarify the origin and nature of previously demonstrated effects of labels on visual exploration and the basis of mutual exclusivity effects in word learning. We use our findings to discuss key questions for this special section: what makes a good theory and how should formal theories interface with empirical paradigms and findings?
Abstractor: As Provided
Notes: https://doi.org/10.17605/OSF.IO/NG2VF
Entry Date: 2023
Accession Number: EJ1403821
Database: ERIC