Neuroimaging methodological aspects: This course will provide an overview of the currently most widely used neuroimaging methods in cognitive neuroscience (EEG/ERP, MEG, TMS, fMRI, PET). For each of these methods, the basic measurement technique and the relationship between the measured signal and neural activity will be discussed.  Special emphasis is placed on what can and cannot be inferred in terms of underlying brain activity.

Experimental design aspects: The course will discuss in detail how these methods are combined with experimental paradigms that isolate functional aspects of human cognition. It aims at making students aware of the relevant design issues in imaging experiments. It will also discuss the assumptions in mapping functional onto neural architecture.

Data analysis aspects: The course will provide an overview of the methods of processing the data, obtained with the different research methods commonly used in modern cognitive neuroscience. The underlying data analysis models will be discussed, e.g., the General Linear Model for fMRI.