Martin Schrimpf @ CCN2026

@mschrimpf.bsky.social

NeuroAI Prof @EPFL 🇨🇭. ML + Neuro 🤖🧠. Brain-Score, MIRAGE, TopoLM. Previously: PhD @MIT, ML @Salesforce, Neuro @HarvardMed, & co-founder @Integreat. go.epfl.ch/NeuroAI

🚨 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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Really proud of @akgokce.bsky.social's work, I think this is an important result for #NeuroAI: ML-style pretraining saturates for brain-aligned models, but hybrid task+data optimization keeps scaling. Modalities transfer: fine-tune on EEG and you improve electrophysiology, fMRI & MEG predictions!🧠🤖🧪

Abdulkadir Gokce@akgokce.bsky.social · last mo.

🧠 What's the best way to spend compute & neural data to build brain-aligned models? Our new ICML 2026 paper charts the scaling laws across 8 neural datasets & 600+ vision models. 👇 🌐 multimodal-brain-scaling.epfl.ch w/ @davidtyt.bsky.social & @mschrimpf.bsky.social

🧠 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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Excited to be in Rio for #ICLR2026 🇧🇷 I'll be presenting our work, Mixture of Cognitive Reasoners (aka MiCRo), on Friday at Pavilion 3, 10:30 AM (#1610). Come say hi :D Happy to chat about NeuroAI, representational & cultural alignment, and/or test-time learning 🧠

DNN models of the brain are getting bigger. Are we replacing one complicated system in vivo with another in silico? In new work, we seek the *smallest* DNN models of visual cortex, balancing prediction with parsimony. It turns out these compact models are surprisingly small! rdcu.be/e5H8G

Compact deep neural network models of the visual cortex

Nature - Parsimonious deep neural network models can be used for prediction of visual neuron responses.

rdcu.be

For our next UCL #NeuroAI online seminar, we are happy to welcome Dr Martin Schrimpf @mschrimpf.bsky.social (EPFL) 🗓️Wed 19 Nov 2025 ⏰2-3pm GMT Neuro -> AI and Back Again: Integrative Models of the Human Brain in Health and Disease ℹ️ Details / registration: www.eventbrite.co.uk/e/ucl-neuroa...

UCL NeuroAI Talk Series

A series of NeuroAI themed talks organised by the UCL NeuroAI community. Talks will continue on a monthly basis.

eventbrite.co.uk

A glimpse at what #NeuroAI brain models might enable: a topographic vision model predicts stimulation patterns that steer complex object recognition behavior in primates. This could be a key 'software' component for visual prosthetic hardware 🧠🤖🧪

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Hannes Mehrer @CCN2026@hannesmehrer.bsky.social · 10mo ago

🧠 New preprint: we show that model-guided microstimulation can steer monkey visual behavior. Paper: arxiv.org/abs/2510.03684 🧵

Very happy to be part of this project: Melika Honarmand has done a great job of using vision-language-models to predict the behavior of people with dyslexia. A first step toward modeling various disease states using artificial neural networks.

Martin Schrimpf @ CCN2026@mschrimpf.bsky.social · 10mo ago

I've been arguing that #NeuroAI should model the brain in health *and* in disease -- very excited to share a first step from Melika Honarmand: inducing dyslexia in vision-language-models via targeted perturbations of visual-word-form units (analogous to human VWFA) 🧠🤖🧪 arxiv.org/abs/2509.24597