1/n New preprint: What biology can, and cannot, tell us about conscious AI arxiv.org/abs/2606.02121 With @ulysse-klatzmann.bsky.social

President of MIT not mincing words today in @statnews.com www.statnews.com/2026/05/27/s...

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. 🧵

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? 🧵

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!

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

Now out in Nature Machine Intelligence @NatMachIntell “Adopting a human developmental visual diet yields robust and shape-based AI vision”: doi.org/10.1038/s422.... A wonderful case where brain inspiration improved AI. With @martisamuser.bsky.social, Radek Cichy and @timkietzmann.bsky.social .

New book out by @adriendoerig.bsky.social

Happy to announce the 3rd iteration of NEAT (Neuro-AI-Talks), which will take place in Osnabrück September 14th-15th 2026. NEAT is a (deliberately small scale) NeuroAI workshop that brings together researchers from neuroscience and AI. www.kietzmannlab.org/neat2026/ More information below 👇

📢 PhD position in the NeuroAI of Language Why can LLMs predict brain activity so well? We're hiring a PhD student to find out -- AI interpretability meets neuroimaging Deadline March 20 Please RT 🙏 👇 mpi.nl/career-education/vacancies/vacancy/fully-funded-4-year-phd-position-neuroai-language

NSD-synthetic, the out-of-distribution companion dataset of NSD consisting of 7T fMRI responses to 284 artificial images, is now published. #NeuroAI #CompNeuro #neuroscience #AI doi.org/10.1038/s414...

🚨 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/...

cool work suggesting there might be a little voice in your head that you hear while reading and how that voice might look like in the brain

New preprint w/ Malin Styrnal & @martinhebart.bsky.social 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/ps...

Investigating individual-specific topographic organization has traditionally been a resource-intensive and time-consuming process. But what if we could map visual cortex organization in thousands of brains? Here we offer the community with a toolbox that can do just that! tinyurl.com/deepretinotopy

New today in @Nature: your visual cortex contains touch-based body maps. bit.ly/VisualBodyMaps Your brain transforms what you see into first-person, body-referenced codes: A previously unknown bridge between vision and touch.

🚨New Preprint! How can we model natural scene representations in visual cortex? A solution is in active vision: predict the features of the next glimpse! arxiv.org/abs/2511.12715 + @adriendoerig.bsky.social , @alexanderkroner.bsky.social , @carmenamme.bsky.social , @timkietzmann.bsky.social 🧵 1/14

New preprint led by @pablooyarzo.bsky.social together with @kohitij.bsky.social, Diego Vidaurre & Radek Cichy. Using EEG + fMRI, we show that when humans recognize images that feedforward CNNs fail on, the brain recruits cortex-wide recurrent resources. www.biorxiv.org/content/10.1... (1/n)

Please repost! I am looking for a PhD candidate in the area of Computational Cognitive Neuroscience to start in early 2026. The position is funded as part of the Excellence Cluster "The Adaptive Mind" at @jlugiessen.bsky.social. Please apply here until Nov 25: www.uni-giessen.de/de/ueber-uns...

Introducing CorText: a framework that fuses brain data directly into a large language model, allowing for interactive neural readout using natural language. tl;dr: you can now chat with a brain scan 🧠💬 1/n

Figuring out how the brain uses information from visual neurons may require new tools, writes @neurograce.bsky.social. Hear from 10 experts in the field. #neuroskyence www.thetransmitter.org/the-big-pict...

By utilizing the visual backward masking paradigm, this study aimed to disentangle the contributions of feedforward and recurrent processing, revealing that recurrent processing significantly shapes the object representations across the ventral visual stream. journals.plos.org/plosbiology/...

🚨 Finally out in Nature Machine Intelligence!! "Visual representations in the human brain are aligned with large language models" 🔗 www.nature.com/articles/s42...

🚨 Preprint alert! Excited to share my second PhD project: “Adopting a human developmental visual diet yields robust, shape-based AI vision” -- a nice case showing that biology, neuroscience, and psychology can still help AI :)! arxiv.org/abs/2507.03168

Using in silico neuroscience, @alessandrogifford.bsky.social et al. developed a neural control algorithm to modulate the representational relationships between visual cortical areas, revealing how these areas jointly represent the world as an interconnected network. www.nature.com/articles/s41...

I'm super happy to see our project on topographic neural network models of visual processing out in @nathumbehav.nature.com! Have a look at @zejinlu.bsky.social's thread for details.

(1/7) NSD-synthetic is out! NSD-synthetic enables strict out-of-distribution generalization tests critical for the development of more robust models of visual processing and the formulation of more accurate theories of human vision. #NeuroAI #CompNeuro #neuroscience #AI doi.org/10.48550/arX...

I promised to write about my thoughts on the status of the field of neuroAI, some of the big challenges we are facing, and the approaches we are taking to address them. This is super selective on the topic of finding a good model but in my view it affects the field as a whole. Here we go. 🧵