Mikael Djurfeldt Computational Biology and Neurocomputing Group, Royal Institute of Technology, S-100 44, Stockholm, Sweden (mikaeldjurfeldt.com). Mr. Djurfeldt is a Research Engineer at the Computational Biology and Neurocomputing (CBN) group at the Royal Institute of Technology (KTH), Stockholm. His research interests include information processing and function in the cortex and the basal ganglia. He also has experience in software tool development.

Mikael Lundqvist Computational Biology and Neurocomputing Group, Royal Institute of Technology, S-100 44, Stockholm, Sweden. Mr. Lundqvist studied theoretical physics at Stockholm University, and is now a research engineer. His research interest is in working memory and the generic circuitry of the cortex.

Christopher Johansson Computational Biology and Neurocomputing Group, Royal Institute of Technology, S-100 44, Stockholm, Sweden. Dr. Johansson holds an M.S. degree in electrical engineering and a Ph.D. degree in computer science from the Royal Institute of Technology, Stockholm, Sweden. His areas of research cover parallel implementation of neural networks, modeling of cortical circuits, reinforcement learning, and brain-inspired computing.

Martin Rehn Computational Biology and Neurocomputing Group, Royal Institute of Technology, S-100 44, Stockholm, Sweden. Dr. Rehn is a postdoctoral researcher. His research interests include sparse sensory coding in the visual and auditory domains and models of computation in cortical circuits.

Örjan Ekeberg Computational Biology and Neurocomputing Group, Royal Institute of Technology, S-100 44, Stockholm, Sweden. Dr. Ekeberg is an Associate Professor in computer science. His research focus is on simulation models and computational techniques for studying the interaction between neuronal circuits and musculo-skeletal mechanics in the context of animal movement control. During 2001–2002, Dr. Ekeberg was a Resident Fellow of the Institute of Advanced Study, Berlin.

Anders Lansner Computational Biology and Neurocomputing Group (CBN), Royal Institute of Technology, S-100 44, Stockholm, Sweden. Dr. Lansner is Professor of computer science at the Royal Institute of Technology (KTH) and Stockholm University, and he is head of the CBN group. He holds an M.S. degree in engineering chemistry and a Ph.D. degree in computer science from KTH. His research interests range from neural computation and control to biophysically detailed computational models of specific brain systems and functions.