iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data

no code implementations • ICLR 2022 • Marine Schimel, Ta-Chu Kao, Kristopher T Jensen, Guillaume Hennequin

To achieve this, a common approach is to record neural populations in behaving animals, and model these data as emanating from a latent dynamical system whose state trajectories can then be related back to behavioural observations via some form of decoding.

Model Optimization Variational Inference