This paper presents a biologically plausible construction of Gaussian process regression. The 4 reviewers were split into two camps (two strong accepts and two rejects), where one argued that the paper was an exciting and significant contribution to computational neuroscience and the other arguing that the GP construction and empirical evaluation were insufficient for an ML paper. There was extensive discussion, with the ML camp agreeing that they wouldn't argue strongly against acceptance if the work is indeed interesting to computational neuroscience. As NeurIPS includes computational neuroscience as a focus area and the reviewers focusing on that aspect found the work very exciting, it would seem this paper could be quite interesting to researchers in that sub-community.