Klaus Obermayer
Photo: SCIoI
Klaus Obermayer and his research group study the principles which underlie information processing in neural and artificial systems. Current projects cover the three thematic areas Models of neural systems, machine learning and artificial neural networks, and the analysis of neural data. Klaus Obermayer will contribute to SCoI mainly with his expertise in machine learning for pattern recognition, reinforcement learning, and the computational modelling of human perception, decision making, and reward-based learning.
Projects
Klaus Obermayer is member of Project 01, Project 15, Project 57.
Publications +
TU Intern – June 2021 - Wo der Sinn von Wörtern und Sätzen sein Zuhause hat