The research group uses diverse computational modeling approaches, including biological neural networks, cognitive modeling, and machine learning/artificial intelligence, to study learning and memory. The group is actively seeking a talented graduate student to join the team, who will expand the computational modeling framework Cobel-RL (https://doi.org/10.3389/fninf.2023.1134405) and use it to study how episodic memory might be used to learn to navigate.