Thanks so much, Nick! I just read your latest preprint the other day and already noted it for the next version. Super relevant work :)

This work resonates with recent proposals by @meenakshikhosla.bsky.social, @taliakonkle.bsky.social, @jacob-prince.bsky.social, @cibaker.bsky.social, @jbrendanritchie.bsky.social, @olivercontier.bsky.social and many others.

Check out the preprint for details. We’d love to hear your thoughts!

11/11

This multidimensional framework supports both discrete category selectivity and continuous feature integration, offering a unified account of high-level visual cortex organization.

10/n

So here's our takeaway.

When analyzed in a data-driven manner, the two views aren't mutually exclusive but rather complementary. Individual dimensions form sparse feature-selective clusters but also contribute to distributed maps across cortex.

9/n

Individually, they followed a striking topography.

📍 Distinct subclusters within category-selective areas
🌐 But sparsely distributed maps across cortex

Local specialization meets global distribution.

8/n

Collectively, the dimensions from each area explained activity both within their area but also across broader regions of visual cortex.

7/n