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How do living creatures think and make decisions? And how does artificial intelligence do it? Peter Dayan, a leading international researcher in theoretical neuroscience, focusses on the intersection between the intelligence of living creatures and machines, and has made numerous important contributions to this field of research. Using theoretical models, he has studied various forms of learning and his work on so-called reinforcement learning is regarded as pathbreaking. He has also worked on the influence of messenger substances such as dopamine and serotonin on decision-making processes in the brain and investigated how failure modes in these processes can cause mental disorders. As a Humboldt Professor at the University of Tübingen, Dayan will connect informatics and neuroscience, also building bridges to clinical psychiatry. As the Director of the Max Planck Institute for Biological Cybernetics with a focus on computational neuroscience he will play a pivotal role in realigning the institute and reinforcing Tübingen as a centre for neuroscience and machine learning. The Alexander von Humboldt Professorship: https://www.humboldt-professur.de/en #HumboldtProfessor #UniversityofTübingen #TheoreticalNeuroscience #Neuroscience #MachineLearning #HumboldtProfessorship