Huth Lab @HuthLab
computational & experimental neuroscience/CS lab at UT Austin. fMRI + language + machine learning. Looking for students and postdocs! PI: @alex_ander cs.utexas.edu/~huth Austin, TX Joined December 2016-
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Our ✨Large-scale fMRI dataset on naturalistic language✨is now out in Nature Scientific Data! MANY hours (5 to 16 per indiv) on MANY ppl (8 indiv)! We also included code to fit encoding models exactly like all @HuthLab papers! Pls read @alex_ander's awesome thread on... 1/2
Our ✨Large-scale fMRI dataset on naturalistic language✨is now out in Nature Scientific Data! MANY hours (5 to 16 per indiv) on MANY ppl (8 indiv)! We also included code to fit encoding models exactly like all @HuthLab papers! Pls read @alex_ander's awesome thread on... 1/2
Our language decoding paper (@AmandaLeBel3 @shaileeejain @alex_ander) is out! We found that it is possible to use functional MRI scans to predict the words that a user was hearing or imagining when the scans were collected nature.com/articles/s4159…
Why are language models so great at encoding brain responses to natural language? In our new paper (bit.ly/3Ua8MLK), we explore two new correlates of encoding performance and their implications on cognitive theories of language processing. (1/12)
very excited to share our paper on reconstructing language from non-invasive brain recordings! we introduce a decoder that takes in fMRI recordings and generates continuous language descriptions of perceived speech, imagined speech, and possibly much more biorxiv.org/content/10.110…
New Dataset Alert! I'm very happy to official announce a naturalistic language fMRI dataset now available! This dataset includes 8 participants listening to 5 hours each of the moth radio hour. biorxiv.org/content/10.110…
Excited to attend my first #SNL2020 today and learn from *real* neuroscientists! Come hear me talk about some new research on **Discovering patterns of semantic integration across the🧠** :) Slide session B (11:30-13:00 hrs PT): 2020.neurolang.org/?p=slides_b
Cool poster from @shaileeejain and @alex_ander using LSTM models to include contextual information in language encoding models! Finally some actual neuroscience @ #NeurIPS2018
It was the first preprint, now it’s gonna be the first paper from our lab!
It was the first preprint, now it’s gonna be the first paper from our lab!
ayy it's the first preprint from my lab! 🎉 @shaileeejain uses LSTM language models to generate features that incorporate context & are better at predicting brain activity than word embeddings
ayy it's the first preprint from my lab! 🎉 @shaileeejain uses LSTM language models to generate features that incorporate context & are better at predicting brain activity than word embeddings
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5K Followers 2K Following Interested in how & what the brain computes. Professor of Stats & Neuro UC Berkeley. Married to the incredible @Libertysays. he/himTrends for United States
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