Neuroscience has entered an exciting new era of Big Data. New experimental methods are generating large, complex and multidimensional datasets. Data sharing initiatives are providing a broad community of researchers with access to rich datasets of neuroscience data at a range of temporal and spatial scales. This course will teach neuroscience researchers and researchers from related fields about neuroinformatics: the science and engineering of brain data. The topics covered will range from theoretical background, through methodological innovations in the field and their application, as well as socio-technical issues related to data sharing, applications of neuroinformatics to clinical questions, and compliance with sharing mandates.

Target audience

Early career researchers, trainees, or individuals switching into the field.

Format

In-person with 45 mins theory lectures + 40 minutes practical experiences for each topic.