Expressive architectures enhance interpretability of dynamics-based neural population models

Andrew R. Sedler, Christopher Versteeg, Chethan Pandarinath

Artificial neural networks that can recover latent dynamics from recorded neural activity may provide a powerful avenue for identifying and interpreting the dynamical motifs underl…