Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains

Matthew Dowling, Yuan Zhao, Il Memming Park

Abstract: Latent Gaussian process (GP) models are widely used in neuroscience to uncover hidden state evolutions from sequential observations, mainly in neural activity recordings. While latent GP models pro...