052317 VU Neuroinformatics: Machine Learning for Neuronal Data Analysis (2022W)

What brain regions are involved in the processing of certain information? How can we decode a person’s intentions from neuronal data, and use it to build a Brain-Computer Interface? And how does high level cognition arise from the joint activity of individual neurons? These are only some of the questions, that the methods developed in the field of neuroinformatics can help answer. In this course you will get to know a variety of recording modalities of neuronal data (e.g. fMRI, EEG, recordings of single neurons) and methods to analyse the obtained signals. The course will be very practice oriented, introducing you to traditional and modern methods of data analysis and machine learning in neuroinformatics in a combination of lectures and programming tutorials. Prior knowledge of signal processing and/or machine learning methods will be helpful, but not required to follow the course.