You’re welcome to do a surprise act Sush 😄

All together a diverse set of studies, grouped around the central question of how human-aligned deep neural networks are, and how we can use them to learn more about the brain! Looking forward to discuss, hearing your thoughts, and to an exciting and immersive week full of science ahead 😀🧠🤖🧑‍💻📈📊🥳

Finally, Otto Márton, an MSc student in the lab, shows small but consistent benefits of DNNs with hyperbolic geometry for capturing human representations of objects in behavior (using THINGS) and the brain (THINGS-EEG and NSD) 2025.ccneuro.org/poster/?id=b... Poster C109, 14:00-17:00.

On Friday, niklasmuller.bsky.social shows that estimating population receptive fields (pRF) using DNN feature maps but without assuming a Gaussian pRF shape yields better predictions of THINGS ephys data, uncovering surprising pRF geometries! 2025.ccneuro.org/poster/?id=1... Poster C105, 14:00-17:00

Next, on Wednesday, another Proceedings paper by Amber Brands, showing that PredNet, a well-known predictive coding DNN, does not exhibit signatures of short-term adaptation that are ubiquitous in the brain, such as repetition suppression 2025.ccneuro.org/poster/?id=y... Poster B131, 13:00-16:00

In the EEG study, accepted as Proceedings, we replicate these findings in the temporal domain, showing unique processing of locomotive affordances around 200 ms, which is independent of object or GIST features, and not well captured by DNNs 2025.ccneuro.org/poster/?id=6... Poster A69, 13:30-16:30

And in a third Tuesday poster, Clemens Bartnik presents very neat EEG results complementing his recent PNAS paper that used fMRI to demonstrate unique representations of locomotive affordance perception in the human brain www.pnas.org/doi/suppl/10...

Also on Tuesday,
@annewzonneveld.bsky.social
reports whether video-DNNs exhibit temporal straightening, a computational motif found in brains thought to aid future state prediction. Spoiler: some CNNs straighten, Transformers do not! 2025.ccneuro.org/poster/?id=E... Poster A152, 13:30-16:30

On her CCN poster, Christina zooms in on a specific set of multi-pathway video-DNN that separately compute motion features and image features, to explore alignment of static vs. dynamic representations with cortical processing streams 2025.ccneuro.org/poster/?id=s... Poster A154, 13:30-16:30

On Tuesday,
@sargechris.bsky.social
will present a follow-up on her earlier ICLR paper (openreview.net/pdf?id=LM4PY...), where we performed large-scale benchmarking of video-DNNs agains the BOLD Moments fMRI dataset, to see how well such models are representationally aligned with the human brain;