🇧🇷 🇦🇺 Marie Curie Fellow at JLU Giessen 🇩🇪 | Vision | Neuroscience | Deep learning
Views are my own.
Fernanda Ribeiro
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Kaiser Lab is at @vssmtg.bsky.social with 6 posters and 3 talks! 👁️🏖️☀️ Come check out our works!
I couldn’t have asked for a better trip to the USA! Two weeks there spent catching up with longtime friend @ferodrigues112.bsky.social, visiting NYU (thanks @rewaniw.bsky.social for hosting me!), and attending #VSS26.
I feel refreshed and inspired to explore some cool ideas 🤩
Chenonceau: mesoscopic MRI deep phenotyping of a post-mortem human brain at 7 and 11.7 Tesla https://www.biorxiv.org/content/10.64898/2026.05.26.726838v1
Our NeuroAI study made it onto the cover of Nature Machine Intelligence ❤️.
In it, we demonstrate that a developmentally-inspired visual diet can drastically improve the robustness of ANN-based vision systems.
www.nature.com/articles/s42...
open access, open code, open weights, open science.
Our work is now available as a reviewed preprint in eLife, and we received fantastic feedback! Stay tuned for the next version, with toolbox updates that I hope will make it even better 🤩
elifesciences.org/reviewed-pre...
Remember when 70 teams analyzed the same fMRI dataset and got 70 different answers? Yeah, us too.
That's why we're launching the 2026-2027 OHBM OSSIG Reproducibility Challenge: ohbm.github.io/reprochallen...
(More info below 👇)
For those who are attending @ohbmofficial.bsky.social brainhack, I will be giving a short presentation of this work at the neuroimaging statistics workshop, co-hosted with brainhack: sites.google.com/view/nsw2026
It's #VSS2026 time! We're super excited to be back and presenting some exciting, ongoing projects in the lab. Come by and say hi! 🤗
Job ad (1/2): Postdoc fellowship in the AFNI group (SSCC, NIMH, NIH, USA).
FMRI/MRI methods dev, software design, statistics, analysis, data viz, quality control, machine learning and more!
Please see:
discuss.afni.nimh.nih.gov/t/job-ad-pos...
I am happy to chat at OHBM+Brainhack.
Please share!
I'm proud to say we are releasing LAION-fMRI, a densely sampled 7T fMRI dataset of natural images, with very broad stimulus sampling for testing countless hypotheses and for deeply exploring brain representations. The dataset is now available at
laion-fmri.hebartlab.com
What does LAION-fMRI offer? 🧵
