Hannes Mehrer @CCN2026

@hannesmehrer.bsky.social

Computational neuroscientist, NeuroAI lab @EPFL

🚨 NEW PREPRINT Videos strongly shape activity across the visual cortex. But can we design videos that maximally drive specific brain regions? We present NEvo 🧬🧠 — a neural-guided evolutionary framework that synthesizes videos to maximally activate target visual ROIs. (1/10)

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🧠🎬 RELEASE We are releasing two Hugging Face model cards for video brain encoding. 🎥 short video clips → 🧠 brain responses MODEL 1: vjepa2-basic
🔗 huggingface.co/epfl-neuroai... MODEL 2: vjepa2-enhanced
🔗 huggingface.co/epfl-neuroai... Brain encoders. Off the shelf !

epfl-neuroai/vjepa2-encoder-basic · Hugging Face

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

huggingface.co

🚨 New Preprint! 🧠 We gave an AI model one simple rule: rearrange your neurons so that nearby ones respond alike. We never told it what a face, a voice, or a sentence was. It grew brain-like maps for all three anyway. 🧵👇 🌐 Website: topo-omni.epfl.ch

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Very excited to share that my lab will be moving to Princeton (Neuroscience & Psychology) this fall. I'll be recruiting at all levels (more info to come soon), please share / get in touch if you're interested in joining!

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🧠 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. 🧵

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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

🚨 New preprint on individual differences in artificial neural networks and human behavior. We show that individual differences among ANN instances trained with different random initializations capture the individual differences in human behavior. 1/8

biorxiv.org