Prof. Dr. Sen Cheng

Courses

• 310506 : Introduction to Computational Neuroscience
• 212006 : Künstliche Neuronale Netze
• 211046 : Introduction to Computational Neuroscience
• 212103 : Journal Club: Learning and Memory
• 212102 : Research Colloquium: Interdisciplinary Perspectives on Episodic Memory

Research

My research group investigates the neural mechanisms underlying learning and memory. We are primarily interested in the hippocampus, the brain region that is mainly involved in episodic memory, as well as in the learning and memory of sequences. Our research focuses on the dynamics of these processes, which has received relatively little attention to date.

We employ two complementary approaches. Our first approach is modeling, including mathematic models as well as computer simulation of complex networks. While all models are simplified, we aim to build biologically realistic models that capture the essence of the neural circuit mechanism underlying learning and memory. Our second approach is data-mining. We develop methods for model-based data analysis and apply such methods to experimental data. These data include electrophysiological and EEG recordings as well as behavioral data. We collaborate closely with neuroscientists on the RUB campus and at other universities in Germany.

Publications