Looking forward to #CCN2026 - check out the presentations from our lab!

Heading to #vss2026? Check out the presentations from our lab @vssmtg.bsky.social

I have a PhD opening for my #VIDI BrainShorts project 📽️🧠🤖! Are you or do you know an ambitious, recent (or almost) MSc graduate with a background in NeuroAI and interest in large-scale data collection and video perception? Check out our vacancy! (deadline Feb 15). werkenbij.uva.nl/en/vacancies...

Excited to share that I’m at #NeurIPS2025 this year! 🧠 I’ll be presenting my work at UniReps on Social Tokens where we explore how to inject socially relevant visual features into language models to improve social reasoning and alignment. If you’re around, come say hi Feel free to DM for a chat! ☕️

The department of Cognitive Science @jhu.edu is seeking motivated students interested in joining our interdisciplinary PhD program! Applications due 1 Dec Our PhD students also run an application mentoring program for prospective students. Mentoring requests due November 15. tinyurl.com/2nrn4jf9

Our work showing human-like individual differences in perceptual decisions emerge from random weight initializations in deep neural networks has been accepted in two NeurIPS workshops! 🎉 Awesome job by my student @herrickfung.bsky.social in collaboration with the amazing @apurvaratan.bsky.social.

Excited to share new work with @hleemasson.bsky.social , Ericka Wodka, Stewart Mostofsky and @lisik.bsky.social! We investigated how simultaneous vision and language signals are combined in the brain using naturalistic+controlled fMRI. Read the paper here: osf.io/b5p4n 1/n

Check out this new preprint led by @gkathy.bsky.social showing how a new fine-tuning scheme using human similarity judgements can improve existing video models, making them more human-aligned on different social tasks! arxiv.org/abs/2510.01502

Kathy Garcia@gkathy.bsky.social · 10mo ago

🚨New preprint w/ @lisik.bsky.social! Aligning Video Models with Human Social Judgments via Behavior-Guided Fine-Tuning We introduce a ~49k triplet social video dataset, uncover a modality gap (language > video), and close via novel behavior-guided fine-tuning. 🔗 arxiv.org/abs/2510.01502

🚨New preprint w/ @lisik.bsky.social! Aligning Video Models with Human Social Judgments via Behavior-Guided Fine-Tuning We introduce a ~49k triplet social video dataset, uncover a modality gap (language > video), and close via novel behavior-guided fine-tuning. 🔗 arxiv.org/abs/2510.01502

Excited to be presenting this paper at #ICLR2025 this week! Come to the poster if you want to know more about how human brains and DNNs process video 🧠🤖 📆 Sat 26 Apr, 10:00-12:30 - Poster session 5 (#64) 📄 openreview.net/pdf?id=LM4PY... 🌐 sergeantchris.github.io/hundred_mode...

📢 Excited to announce our paper at #ICLR2025: “Modeling dynamic social vision highlights gaps between deep learning and humans”! w/ @emaliemcmahon.bsky.social, Colin Conwell, Mick Bonner, @lisik.bsky.social ‬ ‪📆 Thur, Apr, 24: 3:00-5:30 - Poster session 2 (#64) ‬ ‪📄 bit.ly/4jISKES%E2%8... [1/6]

New paper! 🧠 **The cerebellar components of the human language network** with: @hsmall.bsky.social @moshepoliak.bsky.social @gretatuckute.bsky.social @benlipkin.bsky.social @awolna.bsky.social @aniladmello.bsky.social and @evfedorenko.bsky.social www.biorxiv.org/content/10.1... 1/n 🧵

The cerebellar components of the human language network

The cerebellum's capacity for neural computation is arguably unmatched. Yet despite evidence of cerebellar contributions to cognition, including language, its precise role remains debated. Here, we sy...

biorxiv.org

Congratulations to @emaliemcmahon.bsky.social and all the Glushko Prize winners on this amazing and well-deserved honor!