Neuroplasticity describes the brain's ability to adapt to new experiences and boundary conditions over the entire lifespan. The Neural Plasticity Lab is working on issues of functional, integrative and cognitive neuroscience with an emphasis on cortical plasticity, learning and aging.
We do research on self-organizing systems in computer vision, control, and machine learning.
Dealing with the topic of efficient computer vision, our group has a long and successful history at the chair. Our current focus lies on the technologies for driver assistance systems, which represent an important and challenging field of application. These intelligent systems analyse the vehicle´s environment via different types of sensors, for instance video and radar, thus, increasing safety and comfort for the driver.
We develop machine learning and deep learning architectures that are efficient and scalable, as well as algorithms necessary to make use of scalable models for continual learning.
The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany
Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210