Shuqi Wang

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

We designed and tested an autoencoder model for stitching together multi-area multi-animal neuronal recording datasets and inpainting neural dynamics from unobserved brain areas in each experiment.