Review for NeurIPS paper: Neural Networks with Recurrent Generative Feedback

Weaknesses: --Introduction Figure 1 does nothing for me. If not, how is the model different than the work that introduced those functions? Are these necessary to make the model work? What happens to model training when you use only one or two of the three losses you describe for training? How does that affect performance?