1. 🧵 Thread: What happens to the visual brain after early transient blindness?
Our new Nature Communications paper examines a rare population: people born with dense bilateral cataracts—a short blindness occurring during a critical window of visual development.
🔗 rdcu.be/eQjMH

Low-Dimensional and Optimised Representations of High-Level Information in the Expert Brain https://www.biorxiv.org/content/10.1101/2025.11.12.688012v1

Super excited to share a new preprint!

We asked a simple-but-big question:

What changes in the brain when someone becomes an expert?

Using chess ♟️ + fMRI 🧠 + representational geometry & dimensionality 📈, we ask:

1️⃣ WHAT information is encoded?
2️⃣ HOW is it structured?
3️⃣ WHERE is it expressed?

1/n

New paper (and thread) on the representational dynamics of the main dimensions of object space: jov.arvojournals.org/article.aspx... 1/n

It's finally out! Our work with @hansopdebeeck.bsky.social & @costantinoai.bsky.social is published.

We went looking for dissociations between types of recurrence in DNNs, but we found something quite different.. hopefully that can tell us somehting about our models!

rdcu.be/eLwBA

We’re hiring! We’re looking for two RAs to study neuroplasticity in sight loss, sight rescue and development in children and adults @ucl.ac.uk using a wide range of neuroimaging and behavioral methods. Please help spread the word! Apply by 16 Oct! t.ly/q3aYe #neurojobs #NeuroSkyence

🧠 New preprint: Why do deep neural networks predict brain responses so well?
We find a striking dissociation: it’s not shared object recognition. Alignment is driven by sensitivity to texture-like local statistics.
📊 Study: n=57, 624k trials, 5 models doi.org/10.1101/2025...

It was great reconnecting with friends and colleagues at #CCN2025 in Amsterdam and presenting our latest #expertise work.

We 👀 into how #chess experts represent the board, and how the content, structure, and location of these repr shift w/ expertise.⬇️

Neural manifold properties can help us understand how animal brains deal with competing and multifaceted information, execute flexible behaviors and reuse common computations, writes @mattperich.bsky.social.

#neuroskyence

www.thetransmitter.org/neural-dynam...

🚨 New preprint alert!
Our latest study, led by @DrewLinsley, examines how deep neural networks (DNNs) optimized for image categorization align with primate vision, using neural and behavioral benchmarks.

People talk a lot about objects, but what about the softness of a cushion, the greenness of an emerald, or the viscosity of oil? In our work just published @pnas.org, we shed light on how we make sense of the hundreds of materials around us.
www.pnas.org/doi/10.1073/...

You know what I'd love to be able to do?

Research.

Paper🚨 "Objects, Faces, and Spaces: Organizational Principles of Visual Object Perception as Evidenced by Individual Differences in Behavior" by @heidasigurdar.bsky.social & @ingamariao.bsky.social JEP:G editor's choice ->free to read psycnet.apa.org/fulltext/202... #visionscience #psychscisky 🧵1/13

🚨PhD opportunity Fall/Winter
2025🚨
Join me in Geneva Switzerland #unige to learn more about colour perception. Using neuroimaging & computational modelling, you'll be working with an international & interdisciplinary team to understand how we transform light into a colourful world!🧠👁️🌈 #neurojobs