Owen Marschall @omarschall.bsky.social · 14/07/2026Not only useful, but I think this method elegantly enforces a hypothesis in identifying neuronal coordinates that I think a lot of theorists implicitly believe: at most a small number of neural modes can condense at a given moment, even if a large number is observed to condense across many moments. 050
Reposted by Owen MarschallSueYeon Chung @sueyeonchung.bsky.social · 10/02/2026Our paper is out in @natneuro.nature.com! www.nature.com/articles/s41... We develop a geometric theory of how neural populations support generalization across many tasks. @zuckermanbrain.bsky.social @flatironinstitute.org @kempnerinstitute.bsky.social 1/14 7278101
Owen Marschall @omarschall.bsky.social · 15/12/20251/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...biorxiv.orgA theory of multi-task computation and task selectionNeural activity during the performance of a stereotyped behavioral task is often described as low-dimensional, occupying only a limited region in the space of all firing-rate patterns. This region has... 18721
Owen Marschall @omarschall.bsky.social · 04/11/2025Can confirm this was a fun project! My favorite takeaway is that the (low-but-extensive) rank of a network can be used as a knob for controlling dimensionality while leaving single-neuron properties unchanged. 0111
Reposted by Owen MarschallDavid G. Clark @david-g-clark.bsky.social · 19/08/2025Wanted to share a new version (much cleaner!) of a preprint on how connectivity structure shapes collective dynamics in nonlinear RNNs. Neural circuits have highly non-iid connectivity (e.g., rapidly decaying singular values, structured singular-vector overlaps), unlike classical random RNN models.arxiv.orgConnectivity structure and dynamics of nonlinear recurrent neural networksStudies of the dynamics of nonlinear recurrent neural networks often assume independent and identically distributed couplings, but large-scale connectomics data indicate that biological neural circuit... 1409