- I'm more and more convinced that low-dimensional manifolds in the brain are just an artifact of the experimental designs and analyses we use... 🧠📈 🧪
- Dimensionality reduction may be the wrong approach to understanding neural representations. Our new paper shows that across human visual cortex, dimensionality is unbounded and scales with dataset size—we show this across nearly four orders of magnitude. journals.plos.org/ploscompbiol...
- Are there other papers providing complementary evidence for this that you could recommend?
- www.nature.com/articles/s41... proceedings.neurips.cc/paper_files/... www.biorxiv.org/content/10.1... bsky.app/profile/omar...
- 1/X Excited to present this preprint on multi-tasking, with @david-g-clark.bsky.social and Ashok Litwin-Kumar! Timely too, as “low-D manifold” has been trending again. (If you read thru the end, we escape Flatland and return to the glorious high-D world we deserve.) www.biorxiv.org/content/10.6...
- Gao, Peiran, and Surya Ganguli. 2015. “On Simplicity and Complexity in the Brave New World of Large-Scale Neuroscience.” Current Opinion in Neurobiology 32 (June): 148–55.
- For this paper, it’s worth considering that structure in brain activity need not be linear…
- I don’t have a strong opinion on what dimensionality brain activity should have. And dimensionality is just one aspect of manifolds. E.g., smoothness, which quite naturally fits with how we’d expect neural activity to transition between states
- Agreed!
