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Martin Hebart

@martinhebart.bsky.social
4.9K followers 607 following 411 posts

Proud dad, Professor of Computational Cognitive Neuroscience, author of The Decoding Toolbox, founder of things-initiative.org our lab 👉 hebartlab.com

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Martin Hebart @martinhebart.bsky.social · 25/09/2026
What is the nature of universal representations in AI models, and what determines whether they emerge? Our paper accepted at #neurips2026 led by @florianmahner.bsky.social & @rothj.bsky.social addressed these questions comparing 162 vision models, with intriguing results. arxiv.org/abs/2605.13675 🧵
arxiv.org
Characterizing Universal Object Representations Across Vision Models
Deep neural networks trained with different architectures, objectives, and datasets have been reported to converge on similar visual representations. However, what remains unknown is which visual prop...
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John Timmer @jtimmer.bsky.social · 22/09/2026
Ok, this "there are two separate brains" thing appears to be making the rounds, and I want to be absolutely clear: this is a press office overhyping some perfectly reasonable science that won't come as a surprise to most developmental biologists.
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Martin Hebart @martinhebart.bsky.social · 04/09/2026
Amazon Mechanical Turk (AMT/Mturk) will be shut down as of September 30th. This marks the end of an era. It laid the foundation to the now ubiquitous use of online studies in the psychological and social sciences. It also became too unreliable in recent years. Still, I'm going to miss it.
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Steven Scholte @neurosteven.bsky.social · 31/08/2026
Now out in Current Biology! Object decoding and DNN–brain alignment dissociate: more object information ≠ more alignment. What neural networks share with the brain is mid-level image statistics. Free 50-day access: www.sciencedirect.com/science/arti...
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Martin Hebart @martinhebart.bsky.social · 31/08/2026
Two weeks left to sign up for Re:vision! Let's figure out how well visual neuroscience findings replicate! Participants can: - become a coauthor on the paper - win cash prizes up to $2500 - use your replication to write a separate paper. Sign up now, it's super easy: re-vision-initiative.org
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kriegeskorte.bsky.social @kriegeskorte.bsky.social · 30/08/2026
To learn how brains compute, we need to experimentally adjudicate among competing computational hypotheses. How do we do this in the age of complex neural network models? New review paper: “Making models disagree to learn how brains compute” with @talgolanneuro.bsky.social @heikoschuett.bsky.social
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Tal Golan @talgolanneuro.bsky.social · 28/08/2026
How can we design experiments that make computational models disagree? One section of our new @natrevneuro.nature.com Review with @kriegeskorte.bsky.social and @heikoschuett.bsky.social examines studies that used stimulus sets designed to elicit distinct predictions from competing models. 1/16
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Joost de Jong @joost-de-jong.bsky.social · 28/08/2026
🧵 What is the briefest visual response we can elicit? Intuitively, that's the response to the briefest stimulus, aka a flash, right? 📸 No, we can go even briefer! Using a deceptively simple technique, we designed stimuli that elicit briefer-than-brief responses www.biorxiv.org/content/10.6...
biorxiv.org
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Martin Hebart @martinhebart.bsky.social · 24/08/2026
I have been meaning to write a post about a preprint that I'm pretty excited about: www.biorxiv.org/content/10.6... In neuroscience we often assume that we can learn something general about “the brain” using different species. But is this true? Do monkeys even see the world the way we do?
On the left, an image of a rhesus macaque looking towards its left, and on the right, an AI-generated zoomed-out rendering of a human in the same pose. Both are looking.
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Kurt Fraser @kurtfraser.bsky.social · 19/08/2026
The Department of Psychology at University of Minnesota seeks an Assistant Professor working on computational approaches related to cognition and/or perception (broadly). This would be in my area of the department and I’m happy to answer any questions. Posting : hr.myu.umn.edu/psc/hrprd/EM...
google.com
Careers
Tenure-Track Assistant Professor, Computational Approaches to Perception and/or CognitionDepartment of PsychologyUniversity of Minnesota, College of Liberal ArtsThe Department of Psychology at the University of Minnesota-Twin Cities announces a search for an outstanding scholar to fill a tenure-track assistant professor position focused on computational approaches to perception and/or cognition. This full-time position in the Department’s Cognitive and Brain Sciences (CAB) Training Program will begin in Fall 2027.Applications are invited from researchers who would extend or complement our historic strengths in combining experimental and computational approaches to perception and cognition. Examples of desired research topics include, but are not limited to, computational approaches in human and/or non-human animal models to study perceptual function and sensory loss, learning, motivation, emotion, and/or higher cognition. While we expect the primary appointment to be in our CAB area, there is  potential for cross-affiliation with other departmental areas.The appointment will be 100%-time over the nine-month academic year (late-August to late-May) and will be made at the rank of tenure-track assistant professor, depending on qualifications and experience and consistent with collegiate and University policy. Salary and start-up packages are competitive. The successful applicant should have and is expected to maintain a strong research program, advise graduate students from a variety of different backgrounds, and teach undergraduate and graduate courses, including core courses within the graduate training program. A strong record of teaching and mentorship is desired. The individual will also be expected to contribute to the service needs of the department, college, university, and profession.A successful candidate's application will demonstrate scholarly distinction, a record of publications, teaching commitment and, if applicable to the research program and the candidate’s career stage, evidence of success in securing and/or pursuing extramural funding.Applicants are invited to review the Workload Principles and Guidelines for Regular Faculty in the College of Liberal Arts, as well as the Standards for Promotion and Tenure in the Department of Psychology.
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Sander van Bree @sandervanbree.bsky.social · 12/08/2026
Excited to share our preprint! w/ @martinhebart.bsky.social To understand how primates visually process objects in the world, we rely on both research in human and macaque IT. But what representations of object space are actually shared between them? biorxiv.org/content/10.6... Quick thread 🧵
biorxiv.org
Shared and Distinct High-Dimensional Object Spaces in Human and Macaque Inferotemporal Cortex
Human and macaque studies of inferotemporal cortex (IT) have shaped our understanding of object vision, yet the extent of their representational alignment and the precise nature of this correspondence...
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Russ Poldrack @russpoldrack.org · 11/08/2026
Many of you will have seen the recent post about changes at OSF. If you'd like to learn more about how to use other services (particularly Zenodo) to share data and code, see my book chapter on resource sharing. bettercode-book.org/book-sharing...
bettercode-book.org
12  Sharing Research Objects – Better Code, Better Science
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Lenny van Dyck @levandyck.bsky.social · 05/08/2026
Excited to be at #CCN2026 in New York to present brand-new work with @kathadobs.bsky.social 🥳 By testing hundreds of categories, we found striking differences in functional specialization between visual cortex and DNNs 🧠 Come find me at poster F81 on Thursday 1:45-3:30 p.m. Happy to chat!
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Leyla Isik @lisik.bsky.social · 03/08/2026
Also if you're at #CCN2026 come chat with me about Minds, Machines, and Brains @mmb-journal.bsky.social A new journal we are launching with @mitpress.bsky.social with my co-EICs Kendrick Kay & Ellie Pavlick, and the rest of the wonderful editorial board: direct.mit.edu/mmb/pages/ed...
direct.mit.edu
Editorial Information | Minds, Machines, and Brains | MIT Press
Editorial Information | Minds, Machines, and Brains | MIT Press Editorial Information All inquiries should be directed to mindsmachinesandbrains@gmail.com Co-Editors in Chief Leyla Isik ...
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Freddy Kamps @fkamps.bsky.social · 29/07/2026
New paper! We found basic scene selectivity arises across the scene network early in infancy (i.e., by ~3.5 months old), prior to independent navigation experience www.pnas.org/doi/10.1073/...
pnas.org
The cortical scene processing network emerges in infancy, prior to independent navigation experience | PNAS
Sighted people rely on vision to recognize and navigate the local environment. By adulthood, human cortex contains at least three regions that resp...
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Martin Hebart @martinhebart.bsky.social · 02/08/2026
Science isn’t only about solving problems, it’s also about the random process of coming up with new ideas while working on a problem. By solving math problems for us, AI takes away this random element and the theory-building process that happens behind the scenes. 1/3
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Martin Hebart @martinhebart.bsky.social · 01/08/2026
Come and join our replication initiative in visual neuroscience! Low bar for entry, ideal for anyone from a Master’s student looking for a thesis to faculty who want to get back to the bench. 🤓 re-vision-initiative.org
re-vision-initiative.org
re:vision | Replication Initiative for Visual Neuroscience
Test whether published visual-neuroscience findings (NSD, THINGS, etc.) generalize to broadly-sampled natural images using the LAION-fMRI (LfMRI) 7T dataset.
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Dota Tianai Dong @dotadotadota.bsky.social · 21/07/2026
1/5 Over a decade of comparing deep neural networks to the human brain—but what have we actually learned? Our new @cp-trendscognsci.bsky.social Feature Review synthesizes a decade of brain–DNN comparisons, asking what they reveal about brain function across vision and language.
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Lenny van Dyck @levandyck.bsky.social · 16/07/2026
Excited to share that our paper is now out in #JNeurosci! We propose a multidimensional framework of high-level visual cortex that reconciles a longstanding debate. Thanks to @kathadobs.bsky.social, @martinhebart.bsky.social, and everyone else for the great discussions along the way. More to come 🧠🌈
doi.org
Multidimensional feature tuning in category-selective areas of human visual cortex
Two prominent accounts describe the functional organization of human high-level visual cortex. A categorical view emphasizes category-selective areas, while a dimensional view highlights continuous fe...
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Zach Nudelman @zednud.bsky.social · 16/07/2026
Excited to share my first #preprint with @matthiasnau.bsky.social on how gaze behavior shapes brain activity during eyes-closed rest and sleep! Gaze-dependent activity was widespread even during sleep, including in many visual cortices, and altered brain-wide functional connectivity! 🧵 1/8
biorxiv.org
Brain-wide gaze-dependent activity during eyes-closed rest and sleep
Gaze behavior and brain activity are tightly coupled during perception and mental imagery. Whether this coupling extends to eyes-closed states remains largely unknown, primarily because measuring eye ...
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Mind, Brain and Behavior Research Center - CIMCYC @cimcyc.bsky.social · 09/06/2026
Researchers explore how the brain makes sense of ambiguous images. Even when an image is unclear or incomplete, we often end up recognizing what we are seeing 🧵👇 @martinhebart.bsky.social @lindedomingo.bsky.social @ortiztudela.bsky.social @gonzalezgarcia.bsky.social @jvoeller.bsky.social
cimcyc.ugr.es
How Does the Brain Resolve Ambiguous Images?
Investigadores/as del Centro de Investigación Mente, Cerebro y Comportamiento (CIMCYC) de la Universidad de Granada, en colaboración con Martin N. Hebart (Justus Liebig University Giessen y el Max Pla...
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Michelle Greene @mgreenephd.bsky.social · 02/06/2026
🚨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/
arxiv.org
Places in the Wild: A Large, High-Resolution RAW Photograph Dataset for Ecologically Valid Vision Research
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...
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Martin Hebart @martinhebart.bsky.social · 01/06/2026
Looks like geons are alive and well: this paper was rated among the top 1.8% of all papers at CVPR: bardofcodes.github.io/superfit/
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Philip Sulewski @psulewski.bsky.social · 26/05/2026
Now out in Nature Neuroscience: "Fixation duration on natural scenes is explained by memory encoding not processing demand". www.nature.com/articles/s41... Our eyes don't linger because recognition is hard; they linger to remember. Let me take you on a quick tour. 🧵
nature.com
Fixation duration on natural scenes is explained by memory encoding not processing demand - Nature Neuroscience
By combining magnetoencephalography and eye tracking, this study sheds light on why people fixate on some parts of natural scenes longer than others. Rather than visual complexity, fixation durations ...
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Lauren Atlas @laurenatlas.bsky.social · 20/05/2026
Our multiverse analysis of associations between skin conductance and acute pain is published! >550 participants x 18 SCR pipelines = 1 winning approach to SCR analysis! (Ledalab + artifact detection). thread below. We hope others find this useful! Please RT :) journals.lww.com/pain/fulltex...
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Martin Hebart @martinhebart.bsky.social · 27/05/2026
This was a fun collaboration with a great team, and I was happy to play a small part in it!
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Martin Hebart @martinhebart.bsky.social · 19/05/2026
We are excited to open the re:vision initiative, a community-driven initiative for replicating and generalizing findings in visual neuroscience, based on the LAION-fMRI dataset. re-vision-initiative.org Why this initiative and why would you want to participate? 🧵
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Martin Hebart @martinhebart.bsky.social · 19/05/2026
Last day at #VSS2026! Come to the Pavilion where @felenitaribeiro.bsky.social shows how you can scale up her deepRetinotopy toolbox to predicting retinotopy in >11,000 individuals in the ABCD dataset, with fascinating individual differences. Poster 477, happening right now!
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Fernanda Ribeiro @felenitaribeiro.bsky.social · 19/05/2026
Our work is now available as a reviewed preprint in eLife, and we received fantastic feedback! Stay tuned for the next version, with toolbox updates that I hope will make it even better 🤩 elifesciences.org/reviewed-pre...
elifesciences.org
Predicting functional topography of the human visual cortex from cortical anatomy at scale
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Martin Hebart @martinhebart.bsky.social · 18/05/2026
Today at #VSS2026 we are introducing re:vision, a community driven replication/generalization initiative based on our newly released LAION-fMRI dataset. Come to the satellite at 2pm to learn more about it & why you may want to participate! The room Blue Heron is in the upstairs region of the lobby.
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Martin Hebart @martinhebart.bsky.social · 18/05/2026
This morning at #VSS2026, our lab has two poster presentations. Come and pay us a visit! One poster is by @tonghezhuang.bsky.social on what we term representational relevance: can we quantify how important different stimulus contents are in our mental representations? Poster 315 in the Breezeway…1/2
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Martin Hebart @martinhebart.bsky.social · 17/05/2026
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.hebartlab.com
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.
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Martin Hebart @martinhebart.bsky.social · 17/05/2026
Today’s a new day at #VSS2026! Come to the poster of @lucakaemmer.bsky.social at the Pavilion, poster # 439. He finds a high-level predictive signal of upcoming fixation targets, indicating that content-specific visual processing of upcoming visual input starts before the eye lands.
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Martin Hebart @martinhebart.bsky.social · 16/05/2026
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!
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Martin Hebart @martinhebart.bsky.social · 16/05/2026
Today is going to be an exciting day at #VSS2026! One of the things I’m very excited about is Sander’s talk at 3:30! @sandervanbree.bsky.social will tell us about how he combined two large-scale human and monkey datasets to reveal shared and unique measured representations, with intriguing results!
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Iris Groen @irisgroen.bsky.social · 12/05/2026
EXCITED to travel to #VSS2026 to contribute 2 talks and 2 posters from our lab! Me and @niklasmuller.bsky.social will talk scene encoding models on Fri & Sat, @sargechris.bsky.social and @annewzonneveld.bsky.social will discuss their cool work on video models on Tue (schedule👇for exact times).
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Sander van Bree @sandervanbree.bsky.social · 14/05/2026
Are you attending #VSS2026? Come check out my talk on cross-species alignment for finding shared and distinct representational geometries in primate IT. Saturday, May 16, 2026, 3.30pm, Talk Room 1
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Martin Hebart @martinhebart.bsky.social · 14/05/2026
Can’t wait to see everyone at #VSS2026! We hope you can make it to our lab’s presentations! (see below) Come and visit us at the talks and posters, and make sure you come to our workshop about the community replication initiative re:vision. Low bar for entry! Details on the day of each presentation!
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Davide Cortinovis @davidecortinovis.bsky.social · 15/04/2026
Just in time for my PhD defense, the work I started during my visiting PhD in the lab of Martin Hebart at Giessen University is available as a preprint! www.biorxiv.org/content/10.6...
biorxiv.org
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Juan Linde-Domingo @lindedomingo.bsky.social · 18/03/2026
New paper! 🚨 ~1.8K Mooney images from THINGS + ~1K participants to study visual ambiguity resolution. Results suggest the visual system shifts from a top-down guess to bottom-up matching after disambiguation, and a U-shaped link between info gain and identification. www.nature.com/articles/s44...
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Jack Gallant @gallantlab.org · 23/02/2026
We've posted a new fMRI study of semantic relations (has-part, is-a, made-of, etc.), a key aspect of language. We find that relations are represented in the same brain regions as are other semantic concepts, though voxels tend to be selective for only one relation or another. doi.org/10.64898/202...
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Martin Hebart @martinhebart.bsky.social · 16/02/2026
This wins the internet for me.
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Cliona O'Doherty @clionaod.bsky.social · 02/02/2026
1/7 Can infants recognise the world around them? 👶🧠 As part of the FOUNDCOG project, we scanned 134 awake infants using fMRI. Published today in Nature Neuroscience, our research reveals 2-month-old infants already possess complex visual representations in VVC that align with DNNs.
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Kelsey Han @chihyehan.bsky.social · 30/01/2026
Human visual cortex representations may be much higher-dimensional than earlier work suggested, but are these higher dimensions of cortical activity actually relevant to behavior? Our new paper tackles this by studying how different people experience the same movies. 🧵 www.cell.com/current-biol...
cell.com
High-dimensional structure underlying individual differences in naturalistic visual experience
Han and Bonner reveal that individual visual experience arises from high-dimensional neural geometry distributed across multiple representational scales. By characterizing the full dimensional spectru...
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lucakaemmer.bsky.social @lucakaemmer.bsky.social · 26/01/2026
Finally out in eLife!! "Early foveal cortex predicts the features of saccade targets through feedback from higher cortical areas." elifesciences.org/articles/107...
elifesciences.org
Feedback of peripheral saccade targets to early foveal cortex
Low-level features of peripheral saccade targets are fed back to early foveal retinotopic cortex in a signal that resembles activation elicited by direct foveal presentation.
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Giacomo Aldegheri @gialdegheri.bsky.social · 23/01/2026
🚨 New paper out in Science Advances 🚨 With @suryagayet.bsky.social and @peelen.bsky.social, in two fMRI studies we investigate mental object rotations that are driven by the scene context, rather than purely by cognitive operations. 🧵 www.science.org/doi/10.1126/...
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Iris Groen @irisgroen.bsky.social · 16/01/2026
I have a PhD opening for my #VIDI BrainShorts project 📽️🧠🤖! Are you or do you know an ambitious, recent (or almost) MSc graduate with a background in NeuroAI and interest in large-scale data collection and video perception? Check out our vacancy! (deadline Feb 15). werkenbij.uva.nl/en/vacancies...
werkenbij.uva.nl
Vacancy — PhD Position in NeuroAI for Video Perception in the Human Brain
<p><span>Are you interested in using AI to unravel the mysteries of the brain? Do you want to perform cutting-edge NeuroAI research and leverage deep learning to understand human vision? Then check out the vacancy below and apply for a PhD position in this exciting research direction.</span></p>
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Martin Hebart @martinhebart.bsky.social · 08/01/2026
Why you shouldn’t trust data collected on Mturk (anymore): link.springer.com/article/10.3... While this work highlights problems with Mturk, it also depends on the task & filtering. That said, we have also migrated to @cloudresearch.bsky.social Connect for data quality like in the good old days!
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Davide Cortinovis @davidecortinovis.bsky.social · 21/12/2025
Now in press at Nature Communications! www.nature.com/articles/s41... Check it out if you are interested in category selectivity, the organization of visual cortex, and topographic models!
nature.com
Investigating action topography in visual cortex and deep artificial neural networks - Nature Communications
This study shows that interaction with objects is an important dimension that shapes the way object categories such as hands and tools are organized in visual cortex and shows that artificial neural n...
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Tom Wallis @tsawallis.bsky.social · 17/12/2025
Legit super excited about this work coming out. My amazing doctoral student @ben.graphics has been working on an idea to use physically based differentiable rendering (PBDR) to probe visual understanding. Here, we generate physically-grounded metamers for vision models. 1/4 arxiv.org/abs/2512.12307
A teaser figure showing the process of metamers rendered differentially (MRD). Target scene parameters are used to render a target scene. A new scene is initialized from some starting point, and renders are created from this scene. The loss between the initial and target scenes is measured. MRD allows the gradients wrt the loss to be propagated to the scene parameters (e.g. lighting, geometry or material) for gradient-based optimization.
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