Y’all are reading this paper in the wrong way. We love to trash dominant hypothesis, but we need to look for evidence against the manifold hypothesis elsewhere: This elegant work doesn't show neural dynamics are high D, nor that we should stop using PCA It’s quite the opposite! (thread)

Huh, funny. 40 years passed, but this is still so relatable

Not directly related to @neurograce.bsky.social’s comment here but to the thread: I am baffled by the number of people who seem to think the claim is that all brain computation is low-d vs. the *emprical* finding that task-related neural activity is (linear) low-d in many (not all) cases.

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