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Laura Gwilliams, PhD

Stanford University

Biography

Dr. Gwilliams is an Assistant Professor of Psychology and, by courtesy, of Linguistics, jointly appointed between Stanford Psychology, Wu Tsai Neurosciences Institute and Stanford Data Science. Her work is focused on understanding the neural representations and operations that give rise to speech comprehension in the human brain. To do so, she brings together insight from neuroscience, linguistics and machine learning, and takes advantage of recording techniques that operate at distinct spatial scales (MEG, ECoG and Neuropixels).

BRAIN Funded Projects

Mind Over Chatter: Neural Decoding of Language Comprehension in Nonspeaking Autistic Individuals

Aims of the study: Develop an empirical, passive, neural assessment of language comprehension in non-speaking individuals; Characterize individual “ receptive language fingerprints” to measure processing of sounds, words, sentences and meanings.

Selected Publications

Gwilliams L, Flick G, Marantz A, Pylkkänen L, Poeppel D, King JR. Introducing MEG-MASC a high-quality magneto-encephalography dataset for evaluating natural speech processing. Sci Data. 2023 Dec 4;10(1):862. doi: 10.1038/s41597-023-02752-5. PMID: 38049487; PMCID: PMC10695966.

Gwilliams L, King JR, Marantz A, Poeppel D. Neural dynamics of phoneme sequences reveal position-invariant code for content and order. Nat Commun. 2022 Nov 3;13(1):6606. doi: 10.1038/s41467-022-34326-1. PMID: 36329058; PMCID: PMC9633780.

Blanco-Elorrieta E, Gwilliams L, Marantz A, Pylkkänen L. Adaptation to mis-pronounced speech: evidence for a prefrontal-cortex repair mechanism. Sci Rep. 2021 Jan 8;11(1):97. doi: 10.1038/s41598-020-79640-0. PMID: 33420193; PMCID: PMC7794353.

Gwilliams L, Linzen T, Poeppel D, Marantz A. In Spoken Word Recognition, the Future Predicts the Past. J Neurosci. 2018 Aug 29;38(35):7585-7599. doi: 10.1523/JNEUROSCI.0065-18.2018. Epub 2018 Jul 16. PMID: 30012695; PMCID: PMC6113903.

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