An Agent-Based Model of the Human Brain
Karen Joyce, Wake Forest - Department of Biomedical Engineering
Agent-based modeling is a great utility for studying complex systems, where the comprising components are typically very simple, but the assembled whole often exhibits sophisticated emergent behavior. Agent based modeling is a "bottom-up" modeling approach, where simple rules are used to drive the low-level interactions between system components, and higher level system behaviors are allowed to emerge. We use this approachable modeling technique to create an agent-based brain model, built using any functional brain network. While the nodes of the network follow simple instructions, the behavior of the model can be extremely complex. We use genetic algorithms to drive the system to produce specific behaviors, and also demonstrate that this model is capable of solving computational tasks.
April, 24 2012 | 12:00 PM - 1:30 PM | 329 Soc/Psych Building (McKinney Room)