2021
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models
NeurIPS 2021poster
Latent variable models are ubiquitous in the exploratory analysis of neural population recordings, where they allow researchers to summarize the activity of large populations of neurons in lower dimensional ‘latent’ spaces. Existing methods can generally be categorized into (i) Bayesian methods that…