High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model

NeurIPSOral2025

Authors: Valentin Schmutz, Ali Haydaroğlu, Shuqi Wang, Yixiao Feng, Matteo Carandini, Kenneth D. Harris
Affiliation: University College London, University of London
Venue: NeurIPS 2025
Track: Oral

TL;DR

We show that high-dimensional neural activity can arise from low-dimensional latent dynamics, both in RNNs and in the brain.

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