As part of the Cornell IGERT program in nonlinear science, I worked on a project with Amina Kinkhabwala, Jordan Atlas, and Dan Brown in an effort to better understand the neural networks underlying swimming in zebrafish. We attempted to explain an interesting pattern that was recently discovered in experiments in Joe Fetcho's lab: the neurons that fire during slow swimming are more easily excitable than those that fire only during fast swimming.