Brief Biography
His research interest is in computational neuroscience which he extends into applications such as robotics. With an early background in the development of the vertebrate visual system, he turned toward mathematically derived, generative models of the visual and motor cortex and applied them on real world robotic scenarios using reinforcement learning. To extend the applicability of these models he researches into neural coordinate transformations, and improved vision by a complex-valued neuron model with spike rates and phase couplings. In 2003 he won Hybrid Intelligent Systems the Machine Intelligence Prize by the British Computer Society. This award for the "Visually guided grasping robot MIRA" demonstrates both, the successful application and also future potential of neural vision and motor control algorithms in a robotic platform.