High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model
Valentin Schmutz, Ali Haydaroğlu, Shuqi Wang, Yixiao Feng, Matteo Carandini, Kenneth D. Harris
The paper presents a solvable RNN model showing low-dimensional latent dynamics can generate high-dimensional neuronal activity, and introduces NCE to demonstrate this in mouse visual cortex data.
neural information processing systems · Jan 1, 2025Peer-reviewedNeuroscience