- 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...
- Thanks Blake!
- This paper by Ken's group seems like a very important follow up to Stringer + Pachitariu et al (consistent a MSc in the lab found that UMAP could capture their data well): "High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model" www.biorxiv.org/content/10.1...
- should have said Ken (not sure if on bsky) and @carandinilab.net's group!
