Uncovering the latent structure of interwoven population and temporal codes
This paper introduces a novel factor analysis method that disentangles latent factors associated with individual spikes and bursts in neural data, revealing that traditional rate-based analyses obscure burst coding structures and providing a framework to investigate how bursting relates to cognitive processes like attention and learning.