Cognitive Neuroscience relies on careful behavioral experimentation and the processing and modeling of rich data sets from diverse behavioral and neurobiological sources. In this course, students will acquire both a broad overview and a deep understanding of selected methods in cognitive neuroscience. A central goal is to enable students to critically evaluate the scope, utility, and limitations of these methods in typical research applications as well as in their potential diagnostic use.
The course emphasizes hands-on learning: students will not only study methodological foundations but also actively apply them to real data. Through practical exercises, they will develop problem-solving skills, learn to evaluate parameter choices and methodological innovations, and gain competence in implementing their own analyses.
The teaching program is organized around three key methodological domains that reflect the expertise of professors in the Neurocognition branch of the department: Eye-Tracking, EEG, and (f)MRI. Students will deepen their understanding and skills in hypothesis testing, data acquisition, and the communication of scientific results and research methodology. By the end of the course, they will be prepared to apply contemporary cognitive neuroscience methods independently and critically in research contexts.
