Summer School in Computational and Theoretical Models in Neuroscience

9-14 September 2019

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School Goals

Approaches and techniques from Physics, Mathematics and Computational Science are increasingly becoming critical for understanding and modelling the brain, and also for designing and interpreting experiments. Modeling is an essential tool to cut through the vast complexity of neurobiological systems and their many interacting elements. The course teaches the central ideas, methods, and practices of modern computational neuroscience through a combination of lectures, seminars and Tutorials project work. Students will also work on research projects in teams of 3-4 people under close supervision of expert tutors and faculty. Research projects are proposed by faculty before the course, and include data analyses and the development of theories to explain experimental observations. This school is designed for graduate students and postdoctoral fellows that are expected to have a keen interest and basic background in neurobiology, a solid foundation in mathematics and physics, as well as some computing experience.

Neural Wiring