Summary: Human Neurophysiology
The overall aim of the course is twofold. Firstly, to provide a
theoretical understanding and hands-on practical experience with
Cognitive Neuroscience research in humans and, secondly, to facilitate
that you develop generic and important academic skills.
In terms of Cognitive Neuroscience, you should at the end of the course
be able to:
1. Explain how human neurophysiology can be investigated and explain the
relative strengths and weaknesses of different neuroimaging techniques.
2. Argue why it is important to perform neurophysiological research on
both healthy people and patients.
3. Differentiate between exogenous (stimulus-driven) and endogenous
(spontaneous) brain activity, and experimental paradigms and analysis
tools required for their study.
4. Argue why the phenomenon of ‘daydreaming’ and its neuronal basis is
important to investigate. In addition, you should have acquired the
skills to perform research on this relationship.
5. Explain the relationship between brain activity and EEG signals.
6. Explain how to prepare a subject for an EEG measurement and
understand acquisition settings such as sampling frequency, filters,
7. Use MATLAB-based software for qualitative analysis of EEG, e.g., to
differentiate between EEG signals that originate from muscle and brain
8. Perform quantitative and statistical analysis of own data and use the
results to make conclusions about the relation between brain activity
9. Provide an overview of the possibilities and challenges for applying
EEG technology (1) in the diagnosis and therapy of disorders such as
epilepsy, attention disorders and dementia, and (2) for controlling
machines or computers with your thoughts.
he course aims to provide you with theoretical knowledge of how the
human neurophysiology and cognition can be studied with current
techniques. In addition, an important component of the course is to
teach you how to perform recordings on normal human subjects using
high-density electroencephalography (EEG) and relate the electrical
signal of the brain to cognition. The emphasis is on non-sensory
cognitive experiences such as "daydreaming". Through a competition early
in the course, students agree on an experimental paradigm in which this
type of cognition can be influenced and you will record, analyze and
present both data on EEG and cognition at the end of the course. The
importance of non-stimulus driven brain activity and cognition for
brain-related disorders such as depression, dementia, insomnia or
attention deficit and hyperarousal disorder (ADHD) is discussed.