Cajal computational neuroscience courses (FENS) 2017

Computational Neuroscience is a rapidly evolving field whose methods and techniques are critical for understanding and modeling the brain, and also for designing and interpreting experiments. Mathematical modeling is one of the few tools available to cut through the vast complexity of neurobiological systems and their many interacting elements. This school teaches the central ideas, methods, and practice of modern computational neuroscience. Our mission with the course is to train the future generation of both computational and experimental neuroscientists, and to foster theory-driven experimental research. We provide a broad overview of theoretical techniques, from the introductory to the more advanced that are critical for understanding and modeling the brain, and for designing and interpreting experiments. A range of theoretical topics is covered, including cellular biophysics, neural network dynamics, neural coding and computation, statistical analysis of neural data, and behavioral and cognitive aspects of neural function. The course includes a strong hands-on and project-oriented component. Furthermore, the course will be held in Lisbon, Portugal with its many nearby sites and beaches offering ample opportunities to relax/explore during course breaks.