Aditya Vaidya

PhD student at @HuthLab. Interested in language, computers, and the brain. No thoughts about memes.

[Anuja Negi @anujanegi_1]

Excited to present our work on bilingual brain-informed fine-tuning at #NeurIPS2025 🎉
https://t.co/07J88JFwDf

We fine-tune monolingual and multilingual language models using fMRI data from bilingual participants as they read naturalistic stories in English and Chinese.

[ChangLabUCSF @ChangLabUcsf]

We’re excited about our first paper looking at speech encoding in single neurons across the depth of human cortex. Out today in @nature! https://t.co/RyX8gzSwjI [1/6]

[Aditya Vaidya @_avaidya]

If you're at CoNLL / EMNLP check out our poster in the afternoon!

Code and data are also now available here: https://t.co/d3rWfMIJiM

[Alexander Huth @alex_ander]

At CoNLL poster session 1 today: @_avaidya https://t.co/ioFE9lTpsn LM and human next-word predictions are correlated, but not when text repeats! This points to divergence btwn memory mechanisms, which we localize in the model and then modify to get more human-like behavior

[Aditya Vaidya @_avaidya]

If you're still around at #SfN2023, come by my poster in the afternoon!

[Alexander Huth @alex_ander]

At the final SfN poster session @_avaidya will present some new work he’s doing w/ me & @LibertySays. It sounds a little nuts, but we’re using in silico experiments on fMRI models to replicate effects that really should only work in ECoG. Poster DD15 Wed PM.

[Aditya Vaidya @_avaidya]

@pfau Looks like YouTube might be spared https://t.co/TQ5E8dMCYy

[YouTube Creator Insider @YouTubeInsider]

Confirming we have no plans to delete accounts with YT videos! 🙏

[Jerry Tang @jerryptang]

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 https://t.co/hpYSGAHNQi

[Aditya Vaidya @_avaidya]

@seb_mancha https://t.co/DxHX0lI0BK

[Andrew Pruszynski @andpru]

Mastadon is like Linux, more time fiddling with it than using it.

[Greta Tuckute @GretaTuckute]

Excited to present a comprehensive analysis on the extent to which deep neural network (DNNs) can account for brain responses in the human auditory cortex! Work with @jenellefeather (co-1st) @dlboebinger @JoshHMcDermott

https://t.co/xq7zzrjaIf

[Aditya Vaidya @_avaidya]

The poster is in Hall E #236 from 6:30pm-7:30!

[Aditya Vaidya @_avaidya]

*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!

[Alexander Huth @alex_ander]

New paper from @_avaidya & @shaileeejain just accepted at ICML: Self-supervised models of audio effectively explain human cortical responses to speech
https://t.co/CqTYVfHeVH

[Alexander Huth @alex_ander]

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! https://t.co/LrjAXKIhBC (accepted @ CVPR EPIC Workshop)