Computational neuroscience is a growing field of research as our technological ability attempts to approach the complexity of the human nervous system. In order to construct real-time intelligent systems, researchers must use high-performance computing, experimental data recording and complex brain modeling to develop robotic functions that mimic the way humans think. The focus of Laurence Bray’s recent research, “Large-Scale Biologically Realistic Models of Brain Dynamics Applied to Real-Time Intelligent Robotic Systems”, involves getting clear understanding of physiological responses to “trust” scenarios and modeling them in artificial intelligence. The United States Office of Naval Research is funding a grant to Bray’s lab for the purpose of exploring better decision-making capabilities of artificial intelligence. The project proposes the first biologically realistic model for trust based in both software and hardware modeling. Bray coaches Mason seniors to push the limits of technology in a variety of design project-based courses for the biomedical engineering program.