Course details


Decoding Neuronal Activity

WS 2019 Prof. Dr. Gordon Pipa
B.Sc modules:
CS-BWP-NI - Neuroinformatics
CS-BWP-NS - Neuroscience
KOGW-WPM-NI - Neuroinformatics
KOGW-WPM-NW - Neuroscience
M.Sc modules:
CC-MP-IDC - Interdisciplinary Course
CC-MWP-NI - Neuroinformatics
CC-MWP-NS - Neuroscience
CS-MP-IDC - Interdisciplinary Course
CS-MWP-NI - Neuroinformatics
CS-MWP-NS - Neuroscience
KOGW-MPM-IDK - Interdisciplinary courses
KOGW-MWPM-NIR - Major subject Neuroinformatics and Robotics
KOGW-MWPM-NW - Major subject Neuroscience

Prerequisites: Matlab programming skills, foundations of statistical learning, classification, generative models. Neuronal decoding is used in different domains of neuroscience, especially in brain computer interfaces. In this course we will use generative models for decoding information from EEG recordings. The course is structured such that we have formal teaching in the morning and hands-on computer exercises in the afternoon. The material will cover basic steps in spike train modeling as well as an introduction in classification using generative models. Model selection and regularization will also be discussed. Depending on the number of students we will perform a decoding competition. It is highly recommended to have background knowledge in generalized linear models from the neuroinformatics course or the advanced neuroninformatics course.