NeurIPS 2020

Identifying signal and noise structure in neural population activity with Gaussian process factor models

Meta Review

The paper proposes a method for parsing multitrial neural data into signal and noise components using an an extension to Gaussian process factor analysis. The work is interesting, technically sound and has practical applications. A solid paper that is ready for acceptance.