Dr. Klaus Obermayer

Biography

Klaus Obermayer is a distinguished professor at the Technische Universität Berlin, specializing in the modeling of information processing in biological systems. His research interests include understanding how the brain processes information and applying these principles to machine learning in various contexts. He collaborates with neurobiologists and clinicians to explore topics such as cortical dynamics, visual information representation, and adaptive plasticity, along with the role of feedback in these processes. Additionally, his interests extend into machine learning, where he investigates how machines can learn from examples and make predictions. His work involves developing proper representations and active semi-supervised learning schemes to enhance computational decision-making. He is particularly focused on the analysis of multivariate biomedical data through statistical methods, utilizing machine learning techniques for tasks like spike-sorting and 3D reconstruction of imaging data. Over his career, Obermayer has contributed significantly to the understanding of the interplay between perception, memory, and cognitive function, thereby influencing both theoretical frameworks and practical applications in computational neuroscience and machine learning.

Research Interests