tale-andrea.bsky.social
@tale-andrea.bsky.social
Reposted
Knowing where someone is looking is good. Knowing what they're looking at is a game-changer.
August 12, 2025 at 8:56 AM
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🚀 That went fast! Our escape room is already fully booked for all Saturdays this summer.

Missed out? No worries! A perfect chance to visit the Brain Museum is during the Infinity Science Festival in September. 👉

www.ru.nl/en/about-us/...
July 3, 2025 at 9:37 AM
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Hello everyone!! 👋
Excited to be here and share our latest work to get started!

RoMo: Robust Motion Segmentation Improves Structure from Motion

romosfm.github.io

Boost the performance of your SfM pipeline on dynamic scenes! 🚀 RoMo masks dynamic objects in a video, in a zero-shot manner.
December 2, 2024 at 3:14 AM
Reposted
Thrilled to see our TinyRNN paper in @nature! We show how tiny RNNs predict choices of individual subjects accurately while staying fully interpretable. This approach can transform how we model cognitive processes in both healthy and disordered decisions. doi.org/10.1038/s415...
Discovering cognitive strategies with tiny recurrent neural networks - Nature
Modelling biological decision-making with tiny recurrent neural networks enables more accurate predictions of animal choices than classical cognitive models and offers insights into the underlying cog...
doi.org
July 2, 2025 at 7:03 PM
Reposted
Out now! @ykamit.bsky.social and colleagues present a neural code conversion method to align brain data across individuals without shared stimuli. The approach enables accurate inter-individual brain decoding and visual image reconstruction across sites. #compneurosky
www.nature.com/articles/s43...
Inter-individual and inter-site neural code conversion without shared stimuli - Nature Computational Science
A neural code conversion method is introduced using deep neural network representations to align brain data across individuals without shared stimuli. The approach enables accurate inter-individual br...
www.nature.com
July 11, 2025 at 12:25 PM