Martin Schrimpf

To start the last day of #cinetconference Martin Schrimpf @mschrimpf.bsky.social is telling us about NeuroAI to understand and treat the brain! #neuroskyence 🧠📈

📢 Announcing the 11th CiNet Conference: "From Biological to General Artificial Intelligence: Computational and Experimental Approaches to Understanding and Modeling the Brain" 5–7 October 2026, CiNet, Osaka, Japan Organized by yours truly & Shinji Nishimoto #neuroskyence #psychscisky #mlsky 🧠🤖 1/

Hiring postdocs @EPFL: please reach out and/or apply to the AI Center fellowship www.epfl.ch/research/fun.... My #NeuroAI group is excited about testing and building models of brain and behavior, from sensory through language to cognition, and from healthy to dysfunction (treatment)! 🧠🤖🧪

"So, you have a highly predictive model, now what?" At this #CCN2026 event on Wed, 5 Aug, 4pm at NYU Skirball Theatre I will present work on using ANN brain models for visual prostheses (tinyurl.com/modelguidedm...) and for dyslexia (tinyurl.com/neuroaidysle..., first author: Melika Honarmand).

Come say hi at #CCN2026! Scaling laws for visual cortex, topographic multimodal models, video generation for the lateral stream, model-enabled applications, and a GAC on whether #NeuroAI is asking the right questions

Excited to be at #CCN2026 in NYC! I'll be presenting our spotlight poster, Topo-Omni, with @hannesmehrer.bsky.social 🧠 📍 Poster F14 — Session F 🗓️ Thursday, Aug 6 Come by if you're around, we'd love to talk about how our multimodal model can discover functionally selective brain regions!

Hello world! 👋 We’re Minds, Machines, and Brains (MMB) 👤🤖🧠 a new open access journal from @mitpress.bsky.social exploring the principles of intelligence and cognition across natural and artificial minds. Submissions open this Fall! 🔗 direct.mit.edu/mmb

🚨 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)

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!🧠🤖🧪

A wiring-cost-like loss has been shown to induce brain-like topography in vision (eg www.cell.com/neuron/fullt... and language (e.g. topolm.epfl.ch, toponets.github.io). The same spatial loss yields cognitive clusters in a multimodal model which even discovers new ones! topo-omni.epfl.ch #NeuroAI🤖🧠🧪

🧠 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. 🧵

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 🧠🤖🧪

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 🧠

I will be at #ICRL2026 in Rio to present our work on model-guided microstimulation. Poster session: Thursday, 23 April, 10.30am - 1pm at pavilion 3, poster nr. 1620 Initial BlueSkyPrint here: tinyurl.com/modelguidedmicrostim

My lab is hiring a software engineer to support our #NeuroAI research: careers.epfl.ch/job/Lausanne.... Please consider applying if you want to build out the infrastructure enabling models of the human brain & mind (e.g., www.Brain-Score.org). We will start screening applications this week 🧠🤖

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

🚀 The Re-Align Challenge is now LIVE! We’re inviting you to explore what properties of vision models and data lead to convergences and divergences in representational alignment. 🔗 Get started: huggingface.co/spaces/repre... 🧵👇

Looking forward to presenting at the #AAAI #NeuroAI workshop; including 3 projects that were just accepted to ICLR! arxiv.org/abs/2509.24597, arxiv.org/abs/2510.03684, arxiv.org/abs/2506.13331 🧪🧠🤖

🎉 Re-Align is back for its 4th edition at ICLR 2026! 📣 We invite submissions on representational alignment, spanning ML, Neuroscience, CogSci, and related fields. 📝 Tracks: Short (≤5p), Long (≤10p), Challenge (blog) ⏰ Deadline: Feb 5, 2026 for papers 🔗 representational-alignment.github.io/2026/

One week left to apply to the EPFL computer science PhD program www.epfl.ch/education/ph.... It's an amazing environment to do impactful research 🧪 (with unparalleled compute)! My NeuroAI group is hiring 🧠🤖. Consider this review service by our fantastic PhD students: www.linkedin.com/posts/spnesh...

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...

Thrilled to be among this fantastic cohort of AI2050 Fellows. This is a great recognition of the transformative potential of #NeuroAI and our lab’s work in this space 🧪🧠🤖. Many thanks to @schmidtsciences.bsky.social for the support!

Researchers are using LLMs to analyze the literature, brainstorm hypotheses, build models and interact with complex datasets. Hear from @mschrimpf.bsky.social, @neurokim.bsky.social, @jeremymagland.bsky.social, @profdata.bsky.social and others. #neuroskyence www.thetransmitter.org/machine-lear...

Applications open for postdoc fellowships at the @epfl-ai-center.bsky.social, deadline Nov 3. www.epfl.ch/research/fun.... Great opportunity to work with our world class faculty; the fellowship is set up for collaboration between multiple labs, including my #NeuroAI group 🤖🧠🧪

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 🧠🤖🧪

🧠 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.

Come be our colleague at EPFL! Several open calls for positions 🧪🧠🤖 * Neuroscience www.epfl.ch/about/workin... (deadline Oct 1) * Life Science Engineering www.epfl.ch/about/workin... * CS general call www.epfl.ch/about/workin... * Learning Sciences www.epfl.ch/about/workin...

👁️🧠 New preprint: We demonstrate the first data-driven neural control framework for a visual cortical implant in a blind human! TL;DR Deep learning lets us synthesize efficient stimulation patterns that reliably evoke percepts, outperforming conventional calibration. www.biorxiv.org/content/10.1...

EPFL, ETH Zurich & CSCS just released Apertus, Switzerland’s first fully open-source large language model. Trained on 15T tokens in 1,000+ languages, it’s built for transparency, responsibility & the public good. Read more: actu.epfl.ch/news/apertus...

Action potential 👉 3 faculty opportunities to join EPFL neuroscience 1. Tenure Track Assistant Professor in Neuroscience go.epfl.ch/neurofaculty, 2. Tenure Track Assistant Professor in Life Sciences Engineering, or 3. Associate Professor (tenured) in Life Sciences Engineering go.epfl.ch/LSEfaculty

Our #CCN2025 GAC debate w/ @gretatuckute.bsky.social, Gemma Roig (www.cvai.cs.uni-frankfurt.de), Jacqueline Gottlieb (gottlieblab.com), Klaus Oberauer, @mschrimpf.bsky.social &‬ @brittawestner.bsky.social asks: 📊 What benchmarks are useful for cognitive science? 💭 2025.ccneuro.org/gac

As part of #CCN2025 our satellite event on Monday will explore how we can model the brain as a physical system, from topography to biophysical detail -- and how such models can potentially lead to impactful applications neuroailab.github.io/modeling-the-physical-brain. Join us! 🧪🧠 🤖

It was a steep climb in the "early days" (~2012) up the ImageNet gradient towards better visual system models. That tapped out ~2015 after resnet ... But now w/ video models starting to perform, we can push forward again. Task-driven brain models ftw. amazing... @mschrimpf.bsky.social