Modern neuroscience spans multiple levels of investigation, from genomics and proteomics to whole-brain imaging, psychophysics and behaviour. A fundamental challenge is to understand how these different levels interact. For example, how does gene expression dictate processing of information in neural circuits? What is the relationship between electrical activity in single neurons and high-level processes such as visual perception? Computational methods will be key to addressing these and many other fundamental integrative questions. This summer school will introduce tools to address these goals and will stimulate development of the emerging field of Integrative Computational Neuroscience, which aims to understand neural phenomena by integrating data across multiple levels.

Each day will have a theme that connects data acquired at multiple levels, such as genetic, proteomic, electrophysiological, neuronal ensembles, imaging, and behavioural. Morning lectures will be followed in the afternoon by directly related hands-on tutorials. Keynote presentations in the evening will highlight recent high profile studies.

This course will give a practical introduction into how to use modelling and simulation tools, how to decide on an appropriate level of abstraction when modelling, and how to extend the simulation tools when they do not quite cover your research interest.

The iCNS Summer School is supported by