We are excited to open the re:vision initiative, a community-driven initiative for replicating and generalizing findings in visual neuroscience, based on the LAION-fMRI dataset. re-vision-initiative.org Why this initiative and why would you want to participate? 🧵
Johannes Roth
@rothj.bsky.social
PhD student with Martin Hebart at MPI CBS & Uni Gießen | Interested in making large-scale vision fMRI studies more efficient and effective | https://jroth.space
Today at #VSS2026 we are introducing re:vision, a community driven replication/generalization initiative based on our newly released LAION-fMRI dataset. Come to the satellite at 2pm to learn more about it & why you may want to participate! The room Blue Heron is in the upstairs region of the lobby.
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? 🧵
LAION-fMRI - a 7T fMRI dataset of human vision
LAION-fMRI (LfMRI / LAION MRI dataset): 5 subjects, 25,052 launch-release natural images, 165 acquired 7T fMRI sessions with single-trial GLMsingle betas, retinotopy, localizers, and diffusion.
laion-fmri.hebartlab.com
Finally, today is the day: Josefine Zerbe will present and release our new multi-echo 7T fMRI dataset LAION-fMRI during #VSS2026, with >30 fMRI session per subject and unprecedented stimulus diversity. Come to Talk Room 1 (Scene perception) today at 5:15. Details will follow in a separate thread!
I’m on my way to VSS, and I’m really looking forward to showing our latest work on predicting retinotopic organization from brain anatomy at scale! Tuesday morning at the Pavilion (#477)!
Are you attending #VSS2026? Come check out my talk on cross-species alignment for finding shared and distinct representational geometries in primate IT. Saturday, May 16, 2026, 3.30pm, Talk Room 1
Can’t wait to see everyone at #VSS2026! We hope you can make it to our lab’s presentations! (see below) Come and visit us at the talks and posters, and make sure you come to our workshop about the community replication initiative re:vision. Low bar for entry! Details on the day of each presentation!
New preprint w/ Malin Styrnal & @martinhebart.bsky.social Have you ever computed noise ceilings to understand how well a model performs? We wrote a clarifying note on a subtle and common misapplication that can make models appear quite a lot better than they are. osf.io/preprints/ps...
OSF
osf.io
Investigating individual-specific topographic organization has traditionally been a resource-intensive and time-consuming process. But what if we could map visual cortex organization in thousands of brains? Here we offer the community with a toolbox that can do just that! tinyurl.com/deepretinotopy
Really looking forward to #CCN2025! On Tuesday, I'm presenting new work with @kathadobs.bsky.social on segregated vs. integrated face & body processing in visual cortex 😊🧍🧠 Using DNNs & fMRI, we test competing hypotheses, finding both distinct & shared selectivity. Come by Poster A64 for more.
Very much looking forward to #CCN2025! Would love to see you at our lab's talks and posters, and meet me at the panel discussion in the Algonauts session on Wednesday!
Our lab is present at #VSS2025, so let me highlight some of the things we have been up to with a talk and three posters. Would love to see you around! 🧵
🚨 New Open Dataset Alert! 👅 We've just published a data descriptor in Scientific Data introducing the first open, annotated MRI dataset of tongue musculature, including T1- and T2-weighted images from 47 non-neurodegenerative "healthy" participants across 3 studies! 📄 Check it out: rdcu.be/el0hW
An Annotated Multi-Site and Multi-Contrast Magnetic Resonance Imaging Dataset for the study of the Human Tongue Musculature
Scientific Data - An Annotated Multi-Site and Multi-Contrast Magnetic Resonance Imaging Dataset for the study of the Human Tongue Musculature
rdcu.be
I'm happy to announce that our Primer on coding in psychology / neuroscience received the CMBB Replication award! 🏆 www.nature.com/articles/s44...
Ten principles for reliable, efficient, and adaptable coding in psychology and cognitive neuroscience - Communications Psychology
Programming is essential for modern research in neuroscience and psychology, but it can quickly become a source of frustration and error. This Primer introduces ten practical principles guiding resear...
nature.com
Proud to announce our primer on "Ten principles for reliable, efficient, and adaptable coding in psychology and cognitive neuroscience" www.nature.com/articles/s44... This primer is for beginners to get started, advanced programmers to improve, and PIs. #psychology #psychsci #cogsci #neuroskyence
Ten principles for reliable, efficient, and adaptable coding in psychology and cognitive neuroscience - Communications Psychology
Programming is essential for modern research in neuroscience and psychology, but it can quickly become a source of frustration and error. This Primer introduces ten practical principles guiding resear...
nature.com
Many processes from industry are not appropriate or overkill for an academic setting, but we can and should be doing better than we currently are. Our paper tries to give practical advice on how you can improve your scientific workflow, without being a coding guru. www.nature.com/articles/s44...
Ten principles for reliable, efficient, and adaptable coding in psychology and cognitive neuroscience - Communications Psychology
Programming is essential for modern research in neuroscience and psychology, but it can quickly become a source of frustration and error. This Primer introduces ten practical principles guiding resear...
nature.com
One of the student award winners is @lucakaemmer.bsky.social who showed feedback to foveal early visual cortex during the preparation of saccades that also reflects the content of what participants see. #CAOS2025
Do you run online studies? Different platforms have different benefits, and here I want to highlight one that may be the best of all worlds: Connect by @cloudresearch.bsky.social. Malin Styrnal in our lab wrote a tutorial on how to use it: malin-styrnal.de/connect-tuto... Some more thoughts below. 🧵
Connect Tutorial - Malin Styrnal
Summary
malin-styrnal.de
I promised to write about my thoughts on the status of the field of neuroAI, some of the big challenges we are facing, and the approaches we are taking to address them. This is super selective on the topic of finding a good model but in my view it affects the field as a whole. Here we go. 🧵