Modeling rapid language learning by distilling Bayesian priors into artificial neural networks.

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Bibliographic Details
Title: Modeling rapid language learning by distilling Bayesian priors into artificial neural networks.
Authors: McCoy RT; Department of Linguistics, Yale University, 370 Temple St, New Haven, CT, 06511, USA. tom.mccoy@yale.edu.; Wu Tsai Institute, Yale University, 100 College St, New Haven, CT, 06510, USA. tom.mccoy@yale.edu., Griffiths TL; Department of Psychology, Princeton University, South Drive, Princeton, NJ, 08540, USA.; Department of Computer Science, Princeton University, 35 Olden Street, Princeton, NJ, 08540, USA.
Source: Nature communications [Nat Commun] 2025 May 20; Vol. 16 (1), pp. 4676. Date of Electronic Publication: 2025 May 20.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2041-1723
DOI:10.1038/s41467-025-59957-y