• Britz Juliane

• Britz Juliane

The EEG (Electroencephalogram) is the oldest window into the human mind and non-invasively tracks the electrical activity generated by the brain with high temporal resolution, thus providing important information about mental operations.

This goal of this course is to give a comprehensive overview over the field of EEG research with a particular focus on event-related activity. It will cover the physical and physiological basics of EEG, fundamentals of digital signal processing and recording techniques. Students will present papers using state-of-the-art analysis techniques as well as “classics” in the EEG literature; an important aspect of these paper presentations are the particular questions we can answer with EEG as well as the methodological challenges and their solutions.

The class will be a hybrid format comprising lectures on the physical bases of EEG / ERPs and presentations and discussion of papers on different methodologies.

By the end of the class, students will have a fundamental understanding of the physics and physiology of EEG, be able to read and evaluate papers covering broad scope of analysis methods.

This class addresses Master (and PhD) students with an interest in EEG, particularly those working with EEG data for their thesis.

• Syllabus

Evaluation of the class comprises a short multiple-choice exam on the physical and physiological bases of EEG, evaluation of an oral paper presentation (in groups) and data analysis, each of which are weighted equally.

Evaluation of the class comprises a short multiple-choice exam on the physical and physiological bases of EEG, evaluation of an oral paper presentation (in groups) and data analysis, each of which are weighted equally.

Evaluation of the class comprises a short multiple-choice exam on the physical and physiological bases of EEG, evaluation of an oral paper presentation (in groups) and data analysis, each of which are weighted equally.

Evaluation of the class comprises a short multiple-choice exam on the physical and physiological bases of EEG, evaluation of an oral paper presentation (in groups) and data analysis, each of which are weighted equally.