Dimitra Maoutsa
@dimma.bsky.social
Theor/Comp Neuroscientist (postdoc)
Prev @TU Munich
Stochastic&nonlin. dynamics @TU Berlin&@MPIDS
Learning dynamics, plasticity&geometry of representations
https://dimitra-maoutsa.github.io
https://dimitra-maoutsa.github.io/M-Dims-Blog
Prev @TU Munich
Stochastic&nonlin. dynamics @TU Berlin&@MPIDS
Learning dynamics, plasticity&geometry of representations
https://dimitra-maoutsa.github.io
https://dimitra-maoutsa.github.io/M-Dims-Blog
Reposted by Dimitra Maoutsa
Thank you so much for the compliment! Indeed, we also think it aligns well with Gao&Ganguli's theory, while highlighting the role of state-feedback control in low-D dynamics. We have updated the preprint to include more comparisons with M1 recordings.
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
A model of neural population dynamics for flexible sensorimotor control
Modern large-scale recordings have revealed that motor cortex activity during reaching follows low-dimensional dynamics, thought to reflect sensorimotor computations underlying muscle activation. Howe...
www.biorxiv.org
November 14, 2025 at 10:24 AM
Thank you so much for the compliment! Indeed, we also think it aligns well with Gao&Ganguli's theory, while highlighting the role of state-feedback control in low-D dynamics. We have updated the preprint to include more comparisons with M1 recordings.
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...