postdoctoral fellow at UT Austin interested in language disorders and brain-computer interfaces
Austin, TX
Joined May 2021
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Jerry Tang retweeted
How does the human brain represent semantic information from different languages?
Our new preprint suggests that bilingual language comprehension relies on shared semantic representations that are systematically modulated by each language!
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Bilingual language processing relies on shared semantic representations that are modulated by each language biorxiv.org/cgi/content/shor… #bioRxiv
Jerry Tang retweeted
Do brain representations of language depend on whether the inputs are pixels or sounds?
Our @CommsBio paper studies this question from the perspective of language timescales. We find that representations are highly similar between modalities! rdcu.be/dACh5
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Jerry Tang retweeted
This paper and dataset is now officially published in Scientific Data!! And not only that but we have nearly doubled the amount of data and stimulus available since the preprint version.
Link to paper here: nature.com/articles/s41597-0…
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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/10.1101/…
Jerry Tang retweeted
Our new study is out today in Nature! We demonstrate a brain-computer interface that turns speech-related neural activity into text, enabling a person with paralysis to communicate at 62 words per minute - 3.4 times faster than prior work. 1/3 nature.com/articles/s41586-0…
Jerry Tang retweeted
🌟NEW PREPRINT🌟
🤖-based🧠models are all the rage!
But,
- How do we interpret 🧠if 🤖are SO un-interpretable?
- How do we _test_ if🤖are good models of 🧠? (No, your prediction score is NOT the answer)
Our new paper (co-lead @vvobot) shows you how!
tinyurl.com/vojain2023
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Jerry Tang retweeted
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/10.1101/…
Jerry Tang retweeted
*Today* at ICML, I'll be presenting our work on predicting brain data with self-supervised speech models. Drop by the poster or spotlight talk if you're interested, or just want to chat!
New paper from @_avaidya & @shaileeejain just accepted at ICML: Self-supervised models of audio effectively explain human cortical responses to speech
arxiv.org/abs/2205.14252
Jerry Tang retweeted
Very excited for my first ever tweet to be about our work towards a speech neuroprosthesis to help restore communication to people with severe paralysis! nejm.org/doi/full/10.1056/NE…
Jerry Tang retweeted
If you’ve ever tried to accurately reconstruct hand pose while someone is holding an object from RGBD video, you know it’s kinda bad, right? Well, we (@akarshkumar0101 & @_avaidya) have make it work a bit better! arxiv.org/abs/2105.08196 (accepted @ CVPR EPIC Workshop)