NeurosciencebioRxivPreprint
Discovering Temporally Compositional Neural Manifolds with Switching Infinite GPFA
Changmin Yu, Maneesh Sahani, Máté Lengyel
The paper introduces an infinite GPFA model to infer dynamically changing latent factors in neural data, showing it captures meaningful dynamics in hippocampal place cells during spatial tasks.
DOI 10.1101/2024.10.04.616623