Martin Hebart (@martin_hebart) 's Twitter Profile
Martin Hebart

@martin_hebart

Proud dad, Prof. of Computational Cognitive Neuroscience, author of The Decoding Toolbox, founder of things-initiative.org @ martinhebart.bsky. social

ID: 3318578529

linkhttp://hebartlab.com calendar_today11-06-2015 09:09:30

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Thomas Fel (@napoolar) 's Twitter Profile Photo

Train your vision SAE on Monday, then again on Tuesday, and you'll find only about 30% of the learned concepts match. ⚓ We propose Archetypal SAE which anchors concepts in the real data’s convex hull, delivering stable and consistent dictionaries. arxiv.org/pdf/2502.12892…

Train your vision SAE on Monday, then again on Tuesday, and you'll find only about 30% of the learned concepts match.

⚓ We propose Archetypal SAE  which anchors concepts in the real data’s convex hull, delivering stable and consistent dictionaries.

arxiv.org/pdf/2502.12892…
Martin Hebart (@martin_hebart) 's Twitter Profile Photo

I wrote a commentary on a very nice research paper that just appeared in Brain by Selma Lugtmeijer (she/her) Aleksandra Sobolewska Steven scholte. Spoiler: It's about modularity in mid-level vision. Here is the original paper: doi.org/10.1093/brain/… And here my commentary: doi.org/10.1093/brain/…

Steven scholte (@hsteven9) 's Twitter Profile Photo

New preprint (#neuroscience #deeplearning doi.org/10.1101/2025.0…)! We trained 20 DCNNs on 941235 images with varying scene segmentation (original. object-only, silhouette, background-only). Despite object recognition varying (27-53%), all networks showed similar EEG prediction.

New preprint (#neuroscience #deeplearning doi.org/10.1101/2025.0…)! We trained 20 DCNNs on 941235 images with varying scene segmentation (original. object-only, silhouette, background-only). Despite object recognition varying (27-53%), all networks showed similar EEG prediction.
Rosanne Rademaker (@rl_rademaker) 's Twitter Profile Photo

Wanna know about sensory & memory representations in visual cortex? After integrating the wisdom from several reviewers (and clever comments from 2 more reviewers at #elife still to go), this paper is now officially out: elifesciences.org/reviewed-prepr… (tweeprint below)

Andrea Costantino (@costantino_ai) 's Twitter Profile Photo

I am very excited to share our new paper on visual feedback from peripheral to (un-stimulated) foveal cortex: "Partial information transfer from peripheral visual streams to foveal visual streams may be mediated through local primary visual circuits." A 🧵👇 (link below)

Communications Psychology (@commspsychol) 's Twitter Profile Photo

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/s4427…

TinaLonsdorf @tinalonsdorf.bsky.social (@tinalonsdorf) 's Twitter Profile Photo

⚠️Permanent position (E13) as lab manager (psychophysiology, experimental behavioral neuroscience) at University of Bielefeld. Earliest starting date is in July but later is absolutely possible. Please share widely uni-bielefeld.hr4you.org/job/view/4270/…

Martin Hebart (@martin_hebart) 's Twitter Profile Photo

o3 hallucinations from ChatGPT are so evil and so much worse than o1. If they don't iron them out, I'm not sure OpenAI will be able to keep the edge. I need to fact check o3 with other models, but that's suboptimal. Curious to hear of the experience of others (e.g. with Gemini).

Apurva Ratan Murty (@apurvaratan) 's Twitter Profile Photo

#VSS2025 Tomorrow in Talk Room 2 at 9.15AM. mayukh09 will be presenting our work on TopoNets! You can read more about this work at toponets.github.io.

#VSS2025 Tomorrow in Talk Room 2 at 9.15AM.  <a href="/mayukh091/">mayukh09</a> will be presenting our work on TopoNets! You can read more about this work at toponets.github.io.
Greta Tuckute (@gretatuckute) 's Twitter Profile Photo

What are the organizing dimensions of language processing? We show that voxel responses are organized along 2 main axes: processing difficulty & meaning abstractness—revealing an interpretable, topographic representational basis for language processing shared across individuals.

Anh Nguyen (Totti) (@anh_ng8) 's Twitter Profile Photo

Asking GPT-4o for a random choice is an *easy* way to reveal its bias 🙃 Choose a random digit? ➡️ 7 (70% of the time❗️) Biden vs. Trump? ➡️ Biden (100%❗️) Male vs. Female? ➡️ Female (84%❗️) Same story for many LLMs. Choice orders are randomized. 1/6 #icml2025

Asking GPT-4o for a random choice is an *easy* way to reveal its bias 🙃 

Choose a random digit? ➡️ 7 (70% of the time❗️)
Biden vs. Trump? ➡️ Biden (100%❗️)
Male vs. Female? ➡️ Female (84%❗️)

Same story for many LLMs. 
Choice orders are randomized. 
1/6 
#icml2025