@andropar

PhD candidate in Vision and Computational Cognition Group @MPI_CBS

 Leipzig
jroth.space
Joined June 2009
  • Tweets65
  • Following225
  • Followers81
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Johannes Roth retweeted
Martin Hebart@martin_hebartSep 25
What is the nature of universal representations in AI models, and what determines whether they emerge? Our paper accepted at #neurips2026 led by @florianmahner & @andropar addressed these questions comparing 162 vision models, with intriguing results. arxiv.org/abs/2605.13675 👇

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...

arxiv.org
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Johannes Roth retweeted
Sander van Bree@sandervanbreeAug 12
Excited to share our preprint! w/@martin_hebart 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/10.64898… Quick thread🧵
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Johannes Roth retweeted
Martin Hebart@martin_hebartMay 19
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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Johannes Roth retweeted
Martin Hebart@martin_hebartMay 17
I'm proud we are releasing LAION-fMRI, a densely sampled 7T fMRI dataset of natural images, with very broad stimulus sampling for testing countless hypotheses & deeply exploring brain representations. It 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
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New preprint w/ Malin Styrnal & @martin_hebart Have you ever computed noise ceilings to understand how well a model performs? We wrote a clarifying note on a subtle and common misapplication that can make models appear quite a lot better than they are. osf.io/preprints/psyarxiv/gj…

How Much Variance Does Your Model Explain? A Clarifying Note on the Use of Split-Half Reliability...

Noise ceilings estimated from a dataset's split-half reliability offer a powerful way to quantify how much variance a model can in principle explain given the noise in the dataset, allowing researc...

osf.io
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What if you could predict brain function from structure in normally developing individuals? In her new work, Fernanda Ribeiro (not on X) provides a toolbox that accurately predicts retinotopy from T1 scans alone! tinyurl.com/deepretinotopy This is exciting for several reasons:
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Johannes Roth retweeted
Lenny van Dyck@levandyck18 Jun 2025
How is high-level visual cortex organized? In a new preprint with @martin_hebart & @KathaDobs, we show that category-selective areas encode a rich, multidimensional feature space 🌈 biorxiv.org/content/10.1101/… 🧵 1/n
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Programming is essential for modern research in neuroscience and psychology. This Primer introduces ten principles guiding researchers toward writing clear, adaptable, and easily shareable code, ultimately supporting reproducible science. @martin_hebart nature.com/articles/s44271-0…
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We make about 3-4 fast eye movements a second, yet our world appears stable. How is this possible? In a preprint led by @LucaKammer we test the intriguing idea that anticipatory signals in the fovea may explain visual stability. biorxiv.org/content/10.1101/…
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Hugely excited that this work with @martin_hebart and @Chris_I_Baker is now out in @NatureHumBehav !!! By moving from a category-focused to a behaviour-focused model, we identified behaviourally relevant object information throughout visual cortex. nature.com/articles/s41562-0…

Distributed representations of behaviour-derived object dimensions in the human visual system

Nature Human Behaviour - Contier et al. show that dimensions are superior to categories at predicting brain responses to visual objects.

nature.com
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What makes humans similar or different to AI? In a new study, led by @florianmahner and @lukas_mut and w/ @umuguc, we took a deep look at the factors underlying their representational alignment, with surprising results. arxiv.org/abs/2406.19087 🧵

Dimensions underlying the representational alignment of deep...

Determining the similarities and differences between humans and artificial intelligence (AI) is an important goal both in computational cognitive neuroscience and machine learning, promising a...

arxiv.org
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If you are interested in the functional neuroanatomy of the visual system, please come by Josefine Zerbe’s and @MaggieMaeWokeUp’s poster on a dataset of densely sampled retinotopy plus 0.8mm DTI from a Connectom MRI that promises a detailed picture of the human visual connectome.
Laura Stoinski@StoinskiLaura18 May 2024
Check out Josefine’s and @MaggieMaeWokeUp's amazing dataset merging state-of-the art techniques in functional, diffusion, and structural imaging! Today 8:30 am – 12:30 pm in Banyan Breezeway @VSSMtg @martin_hebart @Tknapen
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I'm soon going to be looking for a senior postdoc to join my lab who is interested in transitioning to independence and in building their own group, with a strong background in vision science, cognitive computational neuroscience or visual neuroscience. Please RT 1/3
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ML people: Do you know of any easy way of classifying whether an image is a photograph? For example, telling whether it has a cropped background (vs. e.g. a sky in a photograph), whether half of the image is actually text on top of the image, or whether it is just a diagram?
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How does our brain enable us to make sense of our visual world? 🗺👀🧠 Excited to share our latest work with @Chris_I_Baker and @martin_hebart : “Distributed representations of behaviorally relevant object dimensions in the human visual system” biorxiv.org/content/10.1101/… 🧵 1/n

Distributed representations of behaviorally relevant object dimensions in the human visual system

Object vision is commonly thought to involve a hierarchy of brain regions processing increasingly complex image features, with high-level visual cortex supporting object recognition and categorizat...

biorxiv.org
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Come to poster 2B.95 @CogCompNeuro for hearing about our work on interpretable object dimension in deep neural nets! @florianmahner @martin_hebart
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Only one week left to apply! Come and work with us!
Martin Hebart@martin_hebart7 Jul 2023
I am looking for two postdocs to join us at Giessen University @jlugiessen, in collab. with the Max Planck Institute @MPI_CBS in Leipzig, funded by @ERC_Research & @ProLOEWE. We have exciting projects lined up but also offer a lot of freedom with implementing own ideas!👇 pls RT!
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The 7 hottest days on Earth in the last 100,000+ years all happened in the last week: July 6 ~ 17.23°C / 63.01°F July 7 ~ 17.20°C / 62.96°F July 4 ~ 17.18°C / 62.93°F July 5 ~ 17.18°C / 62.92°F July 8 ~ 17.17°C / 62.90°F July 10 ~ 17.12°C / 62.81°F July 9 ~ 17.11°C / 62.79°F
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I am looking for two postdocs to join us at Giessen University @jlugiessen, in collab. with the Max Planck Institute @MPI_CBS in Leipzig, funded by @ERC_Research & @ProLOEWE. We have exciting projects lined up but also offer a lot of freedom with implementing own ideas!👇 pls RT!
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Johannes Roth retweeted
Bevil Conway@BevilConway26 May 2023
Snoop Dogg provides a crisp account of the current zeitgeist regarding AI xitter.cf/pkedrosky/status/16539…
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