postdoctoral fellow at UT Austin interested in language disorders and brain-computer interfaces
Austin, TX
- Tweets 47
- Following 79
- Followers 1,293
- Likes 10
Our new study on cross-participant cortical mapping (with @alex_ander) is out in @ImagingNeurosci!
direct.mit.edu/imag/article/…
1/7
1
4
17
799
This approach can also generalize across modalities: here we trained models on brain responses to stories and transferred them by aligning brain responses to silent movies. This could be effective for mapping concepts in children and patients with language impairments
6/7
1
2
46
Check out our GitHub repo if you want to integrate this framework into your research! We're really excited to see the scientific and clinical applications of cross-participant mapping
github.com/HuthLab/rapid-cor…
7/7
2
46
We're excited to share our new study on decoding brain activity in participants with post-stroke aphasia! We think this is an important step towards cognitive brain-computer interfaces for patients with language disorders
biorxiv.org/content/10.64898…
1/8
1
9
36
6,963
We also found good decoding performance from individual brain regions. This suggests that we could move our decoder from fMRI into more portable systems. The best regions differed across participants so we think fMRI will remain very important for localizing recording sites
7/8
1
2
222
This was an incredibly rewarding project to work on. Thanks to the amazing team that made this possible! Carly Millanski, Allison Chen, Lisa Wauters, Jordyn Anders, @ShilpaShamapant , @smwilsonau, @alex_ander, Maya Henry
8/8
2
224
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!
1/n
Bilingual language processing relies on shared semantic representations that are modulated by each language biorxiv.org/cgi/content/shor… #bioRxiv
5
82
341
51,172
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
1/8
3
38
103
16,904
I’ll be presenting this work at the #NeurIPS2023 5pm poster session on Wednesday — come by to chat about the relationship between language and vision in the brain!
Multimodal transformers make it possible to transfer fMRI encoding models between language and vision! (though mostly from L->V and not V->L 🤔) New paper from @jerryptang @_du_meng @vvobot @vasudev_lal arxiv.org/abs/2305.12248
2
8
66
7,248
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…
1/n
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/…
1
9
21
4,860
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…
9
216
783
120,651