15 January 2021
Interacting from Brain to EEG Signalsonline course
Electroencephalogram (EEG) is one of the neuro-imaging techniques that is widely used in research and clinical practice to study brain activity. It allows measuring neural processes with high temporal but relatively low spatial resolution. Source localization can be used to improve spatial resolution and localize the neural activity in the brain. However, source localisation is difficult due to its so-called inverse problem (inference of the position of the current sources from electrode potentials). Beamforming is one of the various solutions to this problem that has gained attention in recent years.
Marzieh Borhanazad, MSc; Prof. Andreas Daffertshofer
The target audience is all students that are interested in EEG and analysing the EEG signals. You are required to have experience with programming in Matlab including its signal processing toolbox. A basic knowledge of statistics is beneficial. If you have doubts about your eligibility for the course, please contact us: email@example.com.
- Introduction to EEG and EEG analysis:
The students will be presented with the introduction on fundamentals of EEG signals, neural origins of EEG, quality of signals, and get to know EEG artifacts and cleaning the EEG signals. They will be provided with references to further study and gain more detailed knowledge.
- Spectral analysis:
The students will learn to apply frequency analysis on the EEG signals by understanding Fourier transform and windowing.
Forward and Inverse Modelling:
The students will learn the problems prevalent in source localisation in EEG namely forward and inverse problem and different solution techniques for forward modelling: Boundary Element Method (BEM), Finite Element Method (FEM) and Finite Difference Method (FDM) as well as inverse modelling to locate brain activity by means of Beamforming.
- Beamforming Analysis:
The students will learn the main aspects of beamforming and different beamforming techniques mainly dynamic imaging of coherent sources (DICS).
- Q&A and Examination:
In the last session, students have the opportunity to ask their questions about the entire course and later get ready for the examination.
EUR 600: Fees:
- Students and PhD Students: €600
- Professionals: €800
- Students, PhD students and employees at Vrije Universiteit Amsterdam and Amsterdam UMC: €500
Applications received before the 1st of October (Early Bird Discount) receive €50 discount!
The tuition fee includes:
- Application and registration
- Exclusive course content for a limited number of students
- Individual/group guidance from course organiser
- Access to all online VU facilities such as the library and online learning environments
- A certificate of attendance after completing the course
- A transcript of records mentioning the grade and the obtained ECTS
- Full support of the winter school team
- Optional online social activity