Review for NeurIPS paper: Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice

This is a solid paper that definitely warrants acceptance. The paper is clearly written and makes multiple substantive contributions in terms of training and analyzing RNNs at the boundary of ML and neuroscience. The reviewers identified some issues, primarily relating to clarity and requests for additional details. There is reasonable confidence that updates by the authors will satisfy these requests. There is an emerging field of research involving neural networks being trained to solve tasks that are used in neuroscience experiments to allow comparisons between the representations and dynamics learned by artificial systems and those observed in real neural recordings.