Congratulations, SFB 1280 has been extended and will start its third funding period in January 2026
- Lisa Grunau, B.A.
- /
- January 1, 2026
xtinction learning is a complex process in which we learn that previously acquired knowledge is no longer relevant. Our behavior is adjusted accordingly. The process of extinction learning therefore involves not only forgetting old information, but also a new learning process. However, the experience of initial learning is not simply erased; under certain circumstances, the old memory trace can reappear.
Since 2017, researchers in the SFB 1280 “Extinction Learning” have been investigating the fundamentals of extinction learning in 19 projects. In November, it was decided to continue funding the research network for another 3.5 years. Sen Cheng, Professor of Computational Neuroscience, is the principal investigator in Project A 14, “Modeling the Context Dependence of Acquisition and Extinction Learning,” and, together with Onur Güntürkün and Metin Üngör, in the “Learning Dynamics Focus Group” (F01).
The Institut für Neuroinformatik (INI) is a research unit of the Faculties of Computer Science and Medicine at the Ruhr-Universität Bochum. Its scientific goal is to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory and 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 psychology and neurophysiology as well as machine learning, neural artificial intelligence, computer vision, and robotics.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany
Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210