Central Pattern Generators (CPGs) are neural networks that are thought to control repetitive actions (chewing, breathing, walking, etc). While the existence of spinal CPGs in humans is still only a theory, it is a theory well supported by data. In studies of patients with knee injuries, a number of interesting patterns emerge in the periodicity of their leg movements. The main goal of this research is to create a simplified model that relies on mutually inhibitory neurons and sensory feedback from the system to show how a CPG could give rise to the patterns recorded in studies.