Our scientific mission
Neural computing is concerned with fundamental problems of information processing that are solved by organisms and their nervous systems. Artificial autonomous systems are confronted with these same problems. Our goal is to understand the organizational principles through which nervous systems solve these problems and to form these principles into new solutions to problems of information processing in technical systems. We do this around the exemplary areas of artificial action (autonomous robotics), artificial perception (computer vision) and artificial cognition. Industrial applications are pursued in real time vision, face recognition, and medical engineering. Our methods come primarily from the mathematical theory of neural networks, the theory of stochastic dynamical systems, and the theory of machine learning.