Christina Sartzetaki
@sargechris.bsky.social
PhD candidate @ UvA 🇳🇱, ELLIS 🇪🇺 | {video, neuro, cognitive}-AI
Neural networks 🤖 and brains 🧠 watching videos
🔗 https://sites.google.com/view/csartzetaki/
Neural networks 🤖 and brains 🧠 watching videos
🔗 https://sites.google.com/view/csartzetaki/
Pinned
📢 New preprint, together with @sargechris.bsky.social!
Building on @sargechris.bsky.social's previous work, we benchmark 100+ image and video models 🤖 on brain representational alignment, this time to EEG data of humans 🧠 watching videos! 🧵⬇️
www.biorxiv.org/content/10.1...
Building on @sargechris.bsky.social's previous work, we benchmark 100+ image and video models 🤖 on brain representational alignment, this time to EEG data of humans 🧠 watching videos! 🧵⬇️
www.biorxiv.org/content/10.1...
The Human Brain as a Dynamic Mixture of Expert Models in Video Understanding
The human brain is the most efficient and versatile system for processing dynamic visual input. By comparing representations from deep video models to brain activity, we can gain insights into mechani...
www.biorxiv.org
🚨🚨📄 Check out our new preprint!
Our results reveal novel insights on how continuous visual input is integrated in the human brain💡, beyond the standard temporal processing hierarchy from low to high-level representations
Our results reveal novel insights on how continuous visual input is integrated in the human brain💡, beyond the standard temporal processing hierarchy from low to high-level representations
🚨🚨📄 Check out our new preprint!
Our results reveal novel insights on how continuous visual input is integrated in the human brain💡, beyond the standard temporal processing hierarchy from low to high-level representations
Our results reveal novel insights on how continuous visual input is integrated in the human brain💡, beyond the standard temporal processing hierarchy from low to high-level representations
📢 New preprint, together with @sargechris.bsky.social!
Building on @sargechris.bsky.social's previous work, we benchmark 100+ image and video models 🤖 on brain representational alignment, this time to EEG data of humans 🧠 watching videos! 🧵⬇️
www.biorxiv.org/content/10.1...
Building on @sargechris.bsky.social's previous work, we benchmark 100+ image and video models 🤖 on brain representational alignment, this time to EEG data of humans 🧠 watching videos! 🧵⬇️
www.biorxiv.org/content/10.1...
The Human Brain as a Dynamic Mixture of Expert Models in Video Understanding
The human brain is the most efficient and versatile system for processing dynamic visual input. By comparing representations from deep video models to brain activity, we can gain insights into mechani...
www.biorxiv.org
October 31, 2025 at 1:32 PM
🚨🚨📄 Check out our new preprint!
Our results reveal novel insights on how continuous visual input is integrated in the human brain💡, beyond the standard temporal processing hierarchy from low to high-level representations
Our results reveal novel insights on how continuous visual input is integrated in the human brain💡, beyond the standard temporal processing hierarchy from low to high-level representations
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...
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...
April 23, 2025 at 10:57 AM
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...
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...
Reposted by Christina Sartzetaki
New preprint (#neuroscience #deeplearning doi.org/10.1101/2025...)! We trained 20 DCNNs on 941235 images with varying scene segmentation (original. object-only, silhouette, background-only). Despite object recognition varying (27-53%), all networks showed similar EEG prediction.
March 15, 2025 at 1:55 PM
New preprint (#neuroscience #deeplearning doi.org/10.1101/2025...)! We trained 20 DCNNs on 941235 images with varying scene segmentation (original. object-only, silhouette, background-only). Despite object recognition varying (27-53%), all networks showed similar EEG prediction.
Reposted by Christina Sartzetaki
✨ The VIS Lab at the #University of #Amsterdam is proud and excited to announce it has #TWELVE papers 🚀 accepted for the leading #AI-#makers conference on representation learning ( #ICLR2025 ) in Singapore 🇸🇬. 1/n
👇👇👇 @ellisamsterdam.bsky.social
👇👇👇 @ellisamsterdam.bsky.social
February 3, 2025 at 7:44 AM
✨ The VIS Lab at the #University of #Amsterdam is proud and excited to announce it has #TWELVE papers 🚀 accepted for the leading #AI-#makers conference on representation learning ( #ICLR2025 ) in Singapore 🇸🇬. 1/n
👇👇👇 @ellisamsterdam.bsky.social
👇👇👇 @ellisamsterdam.bsky.social
Excited to announce that this has been accepted in ICLR 25!
📢 New preprint!
We benchmark 99 image and video models 🤖 on brain representational alignment to fMRI data of 10 humans 🧠 watching videos!
Here’s a quick breakdown:🧵⬇️
www.biorxiv.org/content/10.1...
We benchmark 99 image and video models 🤖 on brain representational alignment to fMRI data of 10 humans 🧠 watching videos!
Here’s a quick breakdown:🧵⬇️
www.biorxiv.org/content/10.1...
One Hundred Neural Networks and Brains Watching Videos: Lessons from Alignment
What can we learn from comparing video models to human brains, arguably the most efficient and effective video processing systems in existence? Our work takes a step towards answering this question by...
www.biorxiv.org
January 24, 2025 at 8:20 PM
Excited to announce that this has been accepted in ICLR 25!
Reposted by Christina Sartzetaki
(1/4) The Algonauts Project 2025 challenge is now live!
Participate and build computational models that best predict how the human brain responds to multimodal movies!
Submission deadline: 13th of July.
#algonauts2025 #NeuroAI #CompNeuro #neuroscience #AI
algonautsproject.com
Participate and build computational models that best predict how the human brain responds to multimodal movies!
Submission deadline: 13th of July.
#algonauts2025 #NeuroAI #CompNeuro #neuroscience #AI
algonautsproject.com
The Algonauts Project 2025
homepage
algonautsproject.com
January 6, 2025 at 10:08 AM
(1/4) The Algonauts Project 2025 challenge is now live!
Participate and build computational models that best predict how the human brain responds to multimodal movies!
Submission deadline: 13th of July.
#algonauts2025 #NeuroAI #CompNeuro #neuroscience #AI
algonautsproject.com
Participate and build computational models that best predict how the human brain responds to multimodal movies!
Submission deadline: 13th of July.
#algonauts2025 #NeuroAI #CompNeuro #neuroscience #AI
algonautsproject.com
📢 New preprint!
We benchmark 99 image and video models 🤖 on brain representational alignment to fMRI data of 10 humans 🧠 watching videos!
Here’s a quick breakdown:🧵⬇️
www.biorxiv.org/content/10.1...
We benchmark 99 image and video models 🤖 on brain representational alignment to fMRI data of 10 humans 🧠 watching videos!
Here’s a quick breakdown:🧵⬇️
www.biorxiv.org/content/10.1...
One Hundred Neural Networks and Brains Watching Videos: Lessons from Alignment
What can we learn from comparing video models to human brains, arguably the most efficient and effective video processing systems in existence? Our work takes a step towards answering this question by...
www.biorxiv.org
December 11, 2024 at 4:13 PM
📢 New preprint!
We benchmark 99 image and video models 🤖 on brain representational alignment to fMRI data of 10 humans 🧠 watching videos!
Here’s a quick breakdown:🧵⬇️
www.biorxiv.org/content/10.1...
We benchmark 99 image and video models 🤖 on brain representational alignment to fMRI data of 10 humans 🧠 watching videos!
Here’s a quick breakdown:🧵⬇️
www.biorxiv.org/content/10.1...
Reposted by Christina Sartzetaki
After a great conference in Boston, CCN is going to take place in Amsterdam in 2025! To help the exchange of ideas between #neuroscience, cognitive science, and #AI, CCN will for the first time have full length paper submissions (alongside the established 2 pagers)! Info below👇
#NeuroAI #CompNeuro
#NeuroAI #CompNeuro
November 12, 2024 at 9:27 AM
After a great conference in Boston, CCN is going to take place in Amsterdam in 2025! To help the exchange of ideas between #neuroscience, cognitive science, and #AI, CCN will for the first time have full length paper submissions (alongside the established 2 pagers)! Info below👇
#NeuroAI #CompNeuro
#NeuroAI #CompNeuro