An interdisciplinary field combining neuroscience, cybernetics, and computer science that focuses on understanding the control mechanisms of the brain and nervous system and applying these principles to the design of intelligent systems and networks.
A neurocybernetic approach to developing autonomous vehicles could involve using machine learning algorithms to analyze neural signals from the driver’s brain to predict their intentions and make decisions in real-time.