eLife Assessment
This fundamental study advances our understanding of the neural substrate of planning trajectories towards a goal by using recurrent neural networks. The manuscript provides compelling evidence for the proposed mechanism by linking a computational model to previous findings in neural data, designing a hand-crafted implementation of the mechanism, and showing that trained recurrent networks converge to computational principles consistent with the proposed mechanism. The work will be of broad interest to theoretical and systems neuroscientists and to cognitive scientists.