Bilingualism has been associated with differences in brain function and organization, although findings remain inconsistent. This review examines magnetoencephalography (MEG) as a method that contributes to understanding the neural implementation of language control and executive functions in bilinguals. By directly me...
Contemporary neuroscience has moved from classical localisationist accounts of language towards models in which language emerges from interacting neural systems. This critical integrative review examines the developing language network during middle childhood, with particular attention to neuroplasticity, verbal workin...
Bilingualism has been proposed to confer advantages in cognitive aging, yet the neural mechanisms underlying any such advantages remain debated. In a pre-registered analysis of cross-sectional and longitudinal data from elders in the HABS-HD cohort, we asked whether bilingualism is associated with three measures of bra...
Healthy aging is associated with structural and functional brain changes. However, cognitive abilities vary in how they change with age: executive functions decline, while aspects of linguistic processing remain relatively preserved. This heterogeneity predicts differences among brain networks in whether and how they c...
Second language (L2) learning is a complicated process that can lead to significant changes in the brain’s function and structure. This research paper examines neurolinguistic evidence on how learning a second language reshapes the brain and identifies the major factors that influence language-related neuroplasticity....
Working memory is increasingly recognized as a central cognitive factor in second language acquisition and a major component of language aptitude. This paper examines the relationship between working memory and language learning through Baddeley’s multicomponent model, focusing on the central executive, phonological lo...
Generative AI
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
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