Cognitive Neuroscience Embedded in Large-Scale Models of Systems Dynamics
Identifying structure-function relationships in task-related brain networks.
We develop theoretical systems-level models and data-driven analysis of anatomical architecture and cognitive function in the human brain, thereby describing human motor control, dynamic evolution of network organization, anatomical connectivity patterns, and responses to risk and pressure across a range of cognitive conditions. Through the application of tools from control theory and dynamical systems engineering, we integrate anatomical architecture, cognitive function, and behavioral performance into a theoretical framework that suggests approaches for efficient training, optimal decision-making, and resource allocation under relevant Army scenarios. These advances may further enable the identification of biomarkers for cognitive flexibility, fatigue, and performance under pressure, and may help capture important aspects of human cognition for the development of adaptable machine systems.
