Martin Schrimpf
@mschrimpf.bsky.social
NeuroAI Prof @EPFL 🇨🇭. ML + Neuro 🤖🧠. Brain-Score, CORnet, Vision, Language. Previously: PhD @MIT, ML @Salesforce, Neuro @HarvardMed, & co-founder @Integreat. go.epfl.ch/NeuroAI
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!
We're excited to welcome 28 new AI2050 Fellows! This 4th cohort of researchers are pursuing projects that include building AI scientists, designing trustworthy models, and improving biological and medical research, among other areas.
Schmidt Sciences awards $18M to researchers working to ensure AI benefits society - Schmidt Sciences
Media Contact: Carlie Wiener; cwiener@schmidtsciences.org NEW YORK—Schmidt Sciences announced today that 28 scholars studying how to fulfill AI’s potential to dramatically benefit…
www.schmidtsciences.org
November 6, 2025 at 11:16 AM
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!
Reposted by Martin Schrimpf
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...
#neuroskyence
www.thetransmitter.org/machine-lear...
How neuroscientists are using AI
Eight researchers explain how they are using large language models to analyze the literature, brainstorm hypotheses and interact with complex datasets.
www.thetransmitter.org
November 4, 2025 at 4:07 PM
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...
#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 🤖🧠🧪
EPFL AI Center and Swiss AI Initiative Postdoctoral Fellowships
The 2nd call is now open with a deadline for submissions of 3 November (17.00 CET)!Applications are encouraged from researchers at the postdoctoral level with a keen interest in collaborative, interdi...
www.epfl.ch
October 14, 2025 at 7:27 AM
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 🧠🤖🧪
October 8, 2025 at 11:11 AM
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 🧠🤖🧪
Reposted by Martin Schrimpf
🧠 New preprint: we show that model-guided microstimulation can steer monkey visual behavior.
Paper: arxiv.org/abs/2510.03684
🧵
Paper: arxiv.org/abs/2510.03684
🧵
October 7, 2025 at 3:22 PM
🧠 New preprint: we show that model-guided microstimulation can steer monkey visual behavior.
Paper: arxiv.org/abs/2510.03684
🧵
Paper: arxiv.org/abs/2510.03684
🧵
Reposted by Martin Schrimpf
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.
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
October 2, 2025 at 12:33 PM
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.
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
October 2, 2025 at 12:10 PM
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
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...
* 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...
Faculty Position in Neuroscience
The School of Life Sciences at EPFL invites applications for a Tenure Track Assistant Professor position in Neuroscience. At EPFL researchers develop and apply innovative technologies to understand br...
www.epfl.ch
September 29, 2025 at 11:46 AM
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...
* 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...
Reposted by Martin Schrimpf
👁️🧠 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...
TL;DR Deep learning lets us synthesize efficient stimulation patterns that reliably evoke percepts, outperforming conventional calibration.
www.biorxiv.org/content/10.1...
September 27, 2025 at 2:52 AM
👁️🧠 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...
TL;DR Deep learning lets us synthesize efficient stimulation patterns that reliably evoke percepts, outperforming conventional calibration.
www.biorxiv.org/content/10.1...
Reposted by Martin Schrimpf
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...
Trained on 15T tokens in 1,000+ languages, it’s built for transparency, responsibility & the public good.
Read more: actu.epfl.ch/news/apertus...
September 2, 2025 at 11:48 AM
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...
Trained on 15T tokens in 1,000+ languages, it’s built for transparency, responsibility & the public good.
Read more: actu.epfl.ch/news/apertus...
Reposted by Martin Schrimpf
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
August 18, 2025 at 8:46 AM
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
Reposted by Martin Schrimpf
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
📊 What benchmarks are useful for cognitive science? 💭
2025.ccneuro.org/gac
August 13, 2025 at 7:01 AM
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
📊 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! 🧪🧠 🤖
https://neuroailab.github.io/modeling-the-p…
August 8, 2025 at 7:21 PM
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! 🧪🧠 🤖
Reposted by Martin Schrimpf
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
But now w/ video models starting to perform, we can push forward again. Task-driven brain models ftw. amazing...
@mschrimpf.bsky.social
July 30, 2025 at 3:03 PM
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
But now w/ video models starting to perform, we can push forward again. Task-driven brain models ftw. amazing...
@mschrimpf.bsky.social
What makes visual processing in the brain so powerful and flexible? Very excited to share our new work where we started from SOTA models that accurately predict dynamic brain activity during hours of video watching, and investigated core computations underlying visual perception
July 30, 2025 at 3:42 PM
What makes visual processing in the brain so powerful and flexible? Very excited to share our new work where we started from SOTA models that accurately predict dynamic brain activity during hours of video watching, and investigated core computations underlying visual perception
Reposted by Martin Schrimpf
🚨 New Preprint!!
Thrilled to share with you our latest work: “Mixture of Cognitive Reasoners”, a modular transformer architecture inspired by the brain’s functional networks: language, logic, social reasoning, and world knowledge.
1/ 🧵👇
Thrilled to share with you our latest work: “Mixture of Cognitive Reasoners”, a modular transformer architecture inspired by the brain’s functional networks: language, logic, social reasoning, and world knowledge.
1/ 🧵👇
June 17, 2025 at 3:07 PM
🚨 New Preprint!!
Thrilled to share with you our latest work: “Mixture of Cognitive Reasoners”, a modular transformer architecture inspired by the brain’s functional networks: language, logic, social reasoning, and world knowledge.
1/ 🧵👇
Thrilled to share with you our latest work: “Mixture of Cognitive Reasoners”, a modular transformer architecture inspired by the brain’s functional networks: language, logic, social reasoning, and world knowledge.
1/ 🧵👇
Reposted by Martin Schrimpf
Announcement: Workshop at #CCN2025
🧠 Modeling the Physical Brain: Spatial Organization & Biophysical Constraints
🗓️ Monday, Aug 11 | 🕦 11:30–18:00 CET | 📍 Room A2.07
🔗 Register: tinyurl.com/CCN-physical...
#NeuroAI @cogcompneuro.bsky.social
🧠 Modeling the Physical Brain: Spatial Organization & Biophysical Constraints
🗓️ Monday, Aug 11 | 🕦 11:30–18:00 CET | 📍 Room A2.07
🔗 Register: tinyurl.com/CCN-physical...
#NeuroAI @cogcompneuro.bsky.social
Home
tinyurl.com
May 27, 2025 at 2:44 PM
Announcement: Workshop at #CCN2025
🧠 Modeling the Physical Brain: Spatial Organization & Biophysical Constraints
🗓️ Monday, Aug 11 | 🕦 11:30–18:00 CET | 📍 Room A2.07
🔗 Register: tinyurl.com/CCN-physical...
#NeuroAI @cogcompneuro.bsky.social
🧠 Modeling the Physical Brain: Spatial Organization & Biophysical Constraints
🗓️ Monday, Aug 11 | 🕦 11:30–18:00 CET | 📍 Room A2.07
🔗 Register: tinyurl.com/CCN-physical...
#NeuroAI @cogcompneuro.bsky.social
Reposted by Martin Schrimpf
Excited to be at #NAACL2025 in Albuquerque! I’ll be presenting our paper “The LLM Language Network” as an Oral tomorrow at 2:00 PM in Ballroom C, hope to see you there!
Looking forward to all the discussions! 🎤 🧠
Looking forward to all the discussions! 🎤 🧠
April 30, 2025 at 12:38 AM
Excited to be at #NAACL2025 in Albuquerque! I’ll be presenting our paper “The LLM Language Network” as an Oral tomorrow at 2:00 PM in Ballroom C, hope to see you there!
Looking forward to all the discussions! 🎤 🧠
Looking forward to all the discussions! 🎤 🧠
I'm at #ICLR, lmk if you'd like to chat.
Come by our TopoLM Oral on Friday (poster tonight!) iclr.cc/virtual/2025..., arxiv.org/html/2410.11516
Come by our TopoLM Oral on Friday (poster tonight!) iclr.cc/virtual/2025..., arxiv.org/html/2410.11516
https://iclr.cc/virtual/2025/p…
April 24, 2025 at 2:57 AM
I'm at #ICLR, lmk if you'd like to chat.
Come by our TopoLM Oral on Friday (poster tonight!) iclr.cc/virtual/2025..., arxiv.org/html/2410.11516
Come by our TopoLM Oral on Friday (poster tonight!) iclr.cc/virtual/2025..., arxiv.org/html/2410.11516
Reposted by Martin Schrimpf
AI vision is insanely good nowadays—but is it really like human vision or something else entirely? In our new pre-print, we pinpoint a fundamental visual mechanism that's trivial for humans yet causes most models to fail spectacularly. Let's dive in👇🧠
[https://arxiv.org/abs/2504.05253]
[https://arxiv.org/abs/2504.05253]
April 22, 2025 at 12:33 PM
AI vision is insanely good nowadays—but is it really like human vision or something else entirely? In our new pre-print, we pinpoint a fundamental visual mechanism that's trivial for humans yet causes most models to fail spectacularly. Let's dive in👇🧠
[https://arxiv.org/abs/2504.05253]
[https://arxiv.org/abs/2504.05253]
Reposted by Martin Schrimpf
🚨 New Preprint!!
LLMs trained on next-word prediction (NWP) show high alignment with brain recordings. But what drives this alignment—linguistic structure or world knowledge? And how does this alignment evolve during training? Our new paper explores these questions. 👇🧵
LLMs trained on next-word prediction (NWP) show high alignment with brain recordings. But what drives this alignment—linguistic structure or world knowledge? And how does this alignment evolve during training? Our new paper explores these questions. 👇🧵
March 5, 2025 at 3:58 PM
🚨 New Preprint!!
LLMs trained on next-word prediction (NWP) show high alignment with brain recordings. But what drives this alignment—linguistic structure or world knowledge? And how does this alignment evolve during training? Our new paper explores these questions. 👇🧵
LLMs trained on next-word prediction (NWP) show high alignment with brain recordings. But what drives this alignment—linguistic structure or world knowledge? And how does this alignment evolve during training? Our new paper explores these questions. 👇🧵
Reposted by Martin Schrimpf
(NAACL) @bkhmsi.bsky.social showed that neuroscience localizers uncover brain-like functional specializations in LLMs. Across 18 LLMs, he discovered neuron groups that mirror the brain’s language, theory of mind, and multiple demand networks! Work w/ @mschrimpf.bsky.social @gretatuckute.bsky.social
February 25, 2025 at 9:18 AM
(NAACL) @bkhmsi.bsky.social showed that neuroscience localizers uncover brain-like functional specializations in LLMs. Across 18 LLMs, he discovered neuron groups that mirror the brain’s language, theory of mind, and multiple demand networks! Work w/ @mschrimpf.bsky.social @gretatuckute.bsky.social
Reposted by Martin Schrimpf
Excited to share that our paper, 'The LLM Language Network,' has been accepted to NAACL 2025! Looking forward to presenting it in Albuquerque—see you there! 🏜️ #NAACL2025
🚨 New Paper!
Can neuroscience localizers uncover brain-like functional specializations in LLMs? 🧠🤖
Yes! We analyzed 18 LLMs and found units mirroring the brain's language, theory of mind, and multiple demand networks!
w/ @gretatuckute.bsky.social, @abosselut.bsky.social, @mschrimpf.bsky.social
🧵👇
Can neuroscience localizers uncover brain-like functional specializations in LLMs? 🧠🤖
Yes! We analyzed 18 LLMs and found units mirroring the brain's language, theory of mind, and multiple demand networks!
w/ @gretatuckute.bsky.social, @abosselut.bsky.social, @mschrimpf.bsky.social
🧵👇
February 14, 2025 at 1:08 PM
Excited to share that our paper, 'The LLM Language Network,' has been accepted to NAACL 2025! Looking forward to presenting it in Albuquerque—see you there! 🏜️ #NAACL2025
Reposted by Martin Schrimpf
🚀 Applications are OPEN for the CAJAL NeuroAI course!
Learn how AI & deep learning help us model brain activity & behavior. Work with experts, get hands-on training & join a global network!
📅 Apply by March 7
🔗 loom.ly/xg_uRKE
#NeuroAI #DeepLearning #Neuroscience
Learn how AI & deep learning help us model brain activity & behavior. Work with experts, get hands-on training & join a global network!
📅 Apply by March 7
🔗 loom.ly/xg_uRKE
#NeuroAI #DeepLearning #Neuroscience
February 3, 2025 at 12:27 PM
🚀 Applications are OPEN for the CAJAL NeuroAI course!
Learn how AI & deep learning help us model brain activity & behavior. Work with experts, get hands-on training & join a global network!
📅 Apply by March 7
🔗 loom.ly/xg_uRKE
#NeuroAI #DeepLearning #Neuroscience
Learn how AI & deep learning help us model brain activity & behavior. Work with experts, get hands-on training & join a global network!
📅 Apply by March 7
🔗 loom.ly/xg_uRKE
#NeuroAI #DeepLearning #Neuroscience
Reposted by Martin Schrimpf
🚨 New Paper!
Can neuroscience localizers uncover brain-like functional specializations in LLMs? 🧠🤖
Yes! We analyzed 18 LLMs and found units mirroring the brain's language, theory of mind, and multiple demand networks!
w/ @gretatuckute.bsky.social, @abosselut.bsky.social, @mschrimpf.bsky.social
🧵👇
Can neuroscience localizers uncover brain-like functional specializations in LLMs? 🧠🤖
Yes! We analyzed 18 LLMs and found units mirroring the brain's language, theory of mind, and multiple demand networks!
w/ @gretatuckute.bsky.social, @abosselut.bsky.social, @mschrimpf.bsky.social
🧵👇
December 19, 2024 at 3:06 PM
🚨 New Paper!
Can neuroscience localizers uncover brain-like functional specializations in LLMs? 🧠🤖
Yes! We analyzed 18 LLMs and found units mirroring the brain's language, theory of mind, and multiple demand networks!
w/ @gretatuckute.bsky.social, @abosselut.bsky.social, @mschrimpf.bsky.social
🧵👇
Can neuroscience localizers uncover brain-like functional specializations in LLMs? 🧠🤖
Yes! We analyzed 18 LLMs and found units mirroring the brain's language, theory of mind, and multiple demand networks!
w/ @gretatuckute.bsky.social, @abosselut.bsky.social, @mschrimpf.bsky.social
🧵👇