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Laura Gwilliams
1,159 posts
Laura Gwilliams
@GwilliamsL
.@lauragwilliams.bsky.social - Assistant Prof at Stanford University - Director of the GLySN Lab - She/Her - 🏳️🌈
- happy to announce the curation and release of our big natural listening MEG dataset! paper link: arxiv.org/abs/2208.11488 data link: osf.io/ag3kj/ with @GrahamFlick @AlecMarantz @liinapy @davidpoeppel @JeanRemiKing #openscience #sharingiscaring 1/3
- 🧠how does the brain process rapid speech-sound sequences? 💬how is auditory content maintained over time? 🧮how is temporal order encoded using an evolving spatial pattern? for answers, see our latest paper! nature.com/articles/s4146… @JeanRemiKing @davidpoeppel @AlecMarantz
- Delighted to share our new preprint! with @AlecMarantz, @davidpoeppel and @JeanRemiKing: biorxiv.org/content/10.110… "Hierarchical dynamic coding coordinates speech comprehension in the brain" Summary below 👇 1/8
00:00 - incredibly excited to share I was selected for the @cogsci_soc Glushko Dissertation Award!! a summary of my thesis "Towards a mechanistic account of speech comprehension" is online here: lauragwilliams.github.io/d/a/Gwilliams-… and in honour of #LesbianVisibilityWeek - yup, I'm a lesbian too 🔥
- really happy to share our extensive MEG naturalistic listening dataset! official publication now out: nature.com/articles/s4159… delighted to see research teams already using the data to answer really interesting and varied questions! 🧠👂🗣️
- our new paper "Neural dynamics of phoneme sequencing" is now on bioRxiv! biorxiv.org/content/10.110… conducted with dream-team @jrking0 @AlecMarantz @davidpoeppel, we use MEG to study how phonemes are processed in continuous naturalistic speech short summary in thread below: 1/8
- so extremely grateful to be selected for the @SNLmtg dissertation award! neurolang.org/2020-dissertat… a huge thank you to my amazing PhD supervisors @AlecMarantz and @davidpoeppel !!
- Interested in studying speech neuroscience using time-resolved neural measurements, and machine learning methods? I'm recruiting PhD students thru Stanford's Neuroscience and Psychology programs this fall! Find me at @CogCompNeuro (Aug) and @SNLmtg (Oct)- very happy to chat!
- very happy to share @DrMattDavis and my review chapter preprint! an overview and interpretation of studies using information theoretic measures (eg surprisal, entropy) to test how linguistic information is stored and accessed during speech comprehension hal.archives-ouvertes.fr/hal-03013496/d…
- "Recurrent Processes Emulate a Cascade of Hierarchical Decisions" latest project with @jrking0 now available as a preprint, here! biorxiv.org/content/early/… tracking hierarchical, feedforward and recurrent processes during the categorical perception of varyingly-ambiguous inputs
- Interested in recurrent processes in the brain? Visual perception? Ambiguity? Decoding hierarchical representations from MEG data? Check out my and @jrking0's new paper “Recurrent processes support a cascade of hierarchical decisions” now in eLife! elifesciences.org/articles/56603 1/14
- ecstatic to see this paper out! made possible through extraordinary teamwork, and special co-first duo with @matt_k_leonard. an astounding first insight into what Neuropixels can tell us about neural computation in human cortex, in support of language processingWe’re excited about our first paper looking at speech encoding in single neurons across the depth of human cortex. Out today in @Nature! nature.com/articles/s4158… [1/6]
- Our latest paper is out, in special issue "patterns of language"! @AlecMarantz, @davidpoeppel and @JeanRemiKing: "Top-down information shapes lexical processing when listening to continuous speech" Summary below 👇 tandfonline.com/doi/abs/10.108… biorxiv.org/content/10.110… (free!) 1/9
