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New preprint with @lingqiz.bsky.social: Neurodata Without Boredom: Benchmarking Agentic AI for Data Reuse arxiv.org/abs/2605.12808 1/10
25d
Kristin Branson
Wow, (bird) vision is awesome!
26d
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? 🧵
26d
27d
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!
LAION-fMRI - a 7T fMRI dataset of human vision
SP Arun
Martin Hebart
Martin Hebart
🚨New dataset just dropped🚨 Introducing Places in the Wild: 67,000 RAW-format photographs (45 mpix) densely sampled from 810 places (260 basic-level categories). This is 11x the number of pixels in ImageNet! Preprint is here: arxiv.org/abs/2606.02481 1/
I’m happy to share a protocol we’ve been working on for building modular, synchronized multimodal data acquisition systems for systems neuroscience behavior rigs. @mbd1mbd1.bsky.social @arkarupbanerjee.bsky.social dx.doi.org/10.17504/pro...
10d
22d
Now published - the #BANC! A full central nervous system (CNS) connectome of a limbed animal at single-synapse resolution, enabling us to follow sensory-motor arcs and understand how the CNS controls the body. rdcu.be/fncjS. #neuroscience. Video by @quorumetrix.bsky.social 1/18
3d
A modular toolkit for synchronized multimodal data acquisition in systems neuroscience. Animal behavio. Read full protocol, steps, and materials on protocols.io
dx.doi.org
A modular toolkit for synchronized multimodal data acquisition in systems neuroscience
Video
Large image datasets have accelerated progress in cognitive neuroscience and computer vision. However, most datasets are low-resolution, internet-sourced JPEGs with unknown capture conditions and limi...
arxiv.org
Places in the Wild: A Large, High-Resolution RAW Photograph Dataset for Ecologically Valid Vision Research
Inside bird eyes is a strange and mysterious structure called the pecten oculi. It looks like a pancake flipper, or maybe a radiator. Some 350 years after anatomists first described it, biologists finally figured out its purpose. www.quantamagazine.org/how-the-bird...
26d
Quanta Magazine
Mike Zheng
Wei-Chung Allen Lee
Story time friends... Ring attractor networks rely on fine-tuned symmetric connectivity. The fly head direction network has ring attractor dynamics but heterogeneous connectivity. How is this possible? 1/🧵 Link: www.biorxiv.org/content/10.6...
Michelle Greene
22d
Neuropixels + Optogenetics = Neuropixels Opto Combining high-resolution electrophysiology and optogenetics. 960 sites, 28 emitters, 2 colors. Today in @natmethods.nature.com doi.org/10.1038/s415... Thanks to @wellcometrust.bsky.social, @alleninstitute.org, @hhmijanelia.bsky.social & team.
Two simple ideas for building improved brain encoding models: 1. learn to use representations from all model layers via a gating mechanism + 2. start from natively multimodal features for multimodal predictions. State of the art performance; see mirage-brain.epfl.ch for details #NeuroAI 🧠🤖🧪
11d
10d
Video
mirage-brain.epfl.ch
MIRAGE: Adaptive Multimodal Gating for Whole-Brain fMRI Encoding
Matteo Carandini
Martin Schrimpf
Brad Hulse
🧠 When you watch a movie, your brain blends sight, sound, and speech into a single experience. Should models of the brain blend them too, or keep the senses separate until the very end? We built MIRAGE to find out. It sets a new SOTA for predicting whole-brain fMRI from movies. 🧵
11d
Badr AlKhamissi