Sangyeob Baek

Check out amazing work with my wonderful collaborators🤩 This work is amazing. I can guarantee it👍🏻

🔵 Proud to share our new preprint 🔵

We compared humans and deep neural networks on sound localization 👂📍

Humans robustly localized OOD sounds even without primary interaural cues (ITD & ILD)

Models localized well only in-training distribution sounds, failing on OOD regime

Link & full story 🧵👇

🔵 NEW PAPER 🔵

Spatiotemporal Style Transfer #STST is out on #NatureComputationalScience!

STST as a framework for dynamic visual stimulus generation to study brain and machine vision

feat. @siegellab.bsky.social
paper: www.nature.com/articles/s43...
code: github.com/antoninogrec...

🧵👇

Huge news! 🚨 @agreco.bsky.social 's #STST framework has hit Nature Computational Science! 🧠🚀
A groundbreaking way to study how brains and machines process dynamic visual stimuli—creative, elegant, and game-changing.
P.S. So proud I had to bake it into a muffin. 🧁
For the article👇

New preprint for all those who are interested in brain network alterations in epilepsy and "only" have (low-density) routine EEG data available...