About the Institute

The Institut für Neuroinformatik (INI) is a central research unit (Zentrale Wissenschaftliche Einrichtung) of the Ruhr-Universität Bochum.The interdisciplinary character of the INI makes that we are outside the formal disciplinary structure of the university,not part of any specific department, although we have close ties to the departments of physics and astronomy,electrical engineering and information technology, mathematics, biology, and psychology. We are linked to the Research Department Neuroscience and to the International Graduate School of Neuroscience.

Five principle investigators contribute their research experience and research programs in different areas to our interdisciplinary agenda:

  • Theory of Cognitive Systems: Prof. Dr. Gregor Schöner
  • Theory of Neural Systems: Prof. Dr. Laurenz Wiskott
  • Computational Neuroscience: Prof. Dr. Sen Cheng
  • Theory of Machine Learning: Prof. Dr. Tobias Glasmachers
  • Optical Imaging: PD Dr. Dirk Jancke

The Director of the institute is Prof. Dr. Gregor Schöner, who is assisted by a 'Beirat' and a 'Vorstand' (see under 'Organizational Structure').Our research work is organized around scientifically autonomous research groups, each embedded in a primary discipline. Typically, a senior researcher is responsible for each group to which student assistants, doctoral students, and postdocs may belong. Research groups contribute to teaching, most prominently by supervising Bachelor and Master thesis projects.You find links to all people associated with the institute on the 'People' page, job openings on the 'Jobs' page.

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