Computational modeling helps the Brandon Lab interpret data, generate predictions, and test mechanistic hypotheses about memory and navigation circuits. Models are developed to remain closely tied to experimental observations, allowing theory and data to inform one another. This work is especially important when asking how circuit-level interactions give rise to stable yet flexible cognitive representations.