Manifold GPLVMs for discovering non-Euclidean latent structure in neural data

1 code implementation • NeurIPS 2020 • Kristopher T. Jensen, Ta-Chu Kao, Marco Tripodi, Guillaume Hennequin

A common problem in neuroscience is to elucidate the collective neural representations of behaviorally important variables such as head direction, spatial location, upcoming movements, or mental spatial transformations.

Variational Inference