The following videos visualize the results of one of our experiments on simulated hippocampal networks. A full description of this experiment is provided here. Briefly put, we simulated the movement of a rat inside five types of arenas with 0, 1, 2, 3, and 4 obstacles, and also simulated the activity in its hippocampus as the rat explored each arena. We were interested in seeing if our mathematical tools would be able to extract knowledge of the topology of the arena (e.g. how many obstacles are contained in each arena) just from the neuronal activity in the hippocampus. The videos show that our methods are able to do this successfully: arenas having 4 obstacles are clustered together, those having 3 obstacles are clustered together, and so on with arenas having 2, 1, and 0 obstacles. Data and computations for this experiment were generated by Bowen Dai.