Understanding the brain in health and disease is one of today’s biggest scientific challenges with important societal implications. In particular, computational neuroscience seeks to understand how the brain transmits, processes and stores the information that ultimately guides our behavior. The recent progress in machine learning algorithms and brain recordings have made the fields of artificial and biological neural networks mature to a state in which each can inform the other. Our lab of computational neuroscience focuses in exploiting these advances to study how information is represented in the human brain and improve artificial intelligent systems.
To this end we pursue 3 interconnected lines of research: advanced analysis of brain recordings, cognitive artificial intelligence, and complex systems.
The questions we tackle and the methods we use are influenced by an interdisciplinary perspective. Our team consist of neuroscientists, computer scientists, mathematicians, physicists and bioinformaticians. Therefore, we borrow from any method and perspective from these fields that we find interesting and useful.
Michael Wibral Brain Imaging Center, Goethe University, Frankfurt, Germany
Wolf Singer Max-Planck Institute for Brain Research, Frankfurt, Germany
Claudio Mirasso University of the Balearic Islands, Palma, Spain
Ingo Fischer Instituto de Fisica Interdisciplinar y Sistemas Complejos (IFISC), Palma, Spain
Dirk Oliver Theis Institute of Computer Science, Tartu, Estonia
Ajmal Zemmar Vancouver General Hospital, Vancouver, Canada
Joakim Dillner Karolinska Institutet, Stockholm, Sweden
Caswell Barry University College London, London, UK
Juhan Aru EPFL, Lausanne, Switzerland