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Video lectures and tutorials |
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This page lists the video documentation that we have made publicly available. Note that none of us are expert on-screen presenters, most of us are not native English speakers, nor experts on recording and editing video material. We are doing our best to make this video material as good as we can and to make it available, but please be considerate that it sometimes is not as professional or polished as we would like it to be.
Please use the menu below to get an overview and to navigate through the workshops and videos. Some lecture material has been presented and recorded multiple times. In general, we recommend you start with the most recent lecture.
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- Anatomical reconstruction of intracranial data by Arjen Stolk
- Insights into human cognition from intracranial recordings by Bob Knight
- Introduction to EEG, MEG and analysis with the FieldTrip toolbox by Robert Oostenveld
- Fundamentals of neuronal oscillations and synchrony by Mats van Es
- Forward and inverse modeling of EEG and MEG data by Simon Homoelle
- Source reconstruction using beamforming techniques by Sophie Arana
- Statistical testing of electrophysiological data by Eric Maris
- Large scale analysis and Open Science by Robert Oostenveld
Please note that the recording of the lecture on Sleep and continuous EEG by Martin Dresler failed due to technical reasons, so we cannot share that.
- Introduction to EEG/MEG and introduction to the FieldTrip toolbox by Robert Oostenveld
- Fundamentals of neuronal oscillations and synchrony by Nietzsche Lam
- Forward and inverse modelling by Robert Oostenveld
- Source reconstruction using beamformers by Tzvetan Popov
- Statistics using non-parametric randomization techniques by Eric Maris
- Connectivity analysis of MEG and EEG data by Jan-Mathijs Schoffelen
- Introduction to MEG (vs. EEG) instrumentation by Stephen Whitmarsh
- Introducing FieldTrip by Robert Oostenveld
- Forward modeling in MEG and EEG by Robert Oostenveld
- Principles of frequency analysis by Robert Oostenveld
- Connectivity analysis in MEG and EEG: metrics and issues by Robert Oostenveld
- Beamforming EEG and MEG data by Robert Oostenveld
- Non-parametric statistical testing with clusters by Robert Oostenveld
- FieldTrip introduction by Robert Oostenveld
- Frequency analysis methods by Robert Oostenveld
- Frequency analysis applications in neuroscience by Matti Hämäläinen
- Realtime MEG analysis by Robert Oostenveld
- Current dipole models in MEG by Matti Hämäläinen
- Connectivity analysis of MEG data by Robert Oostenveld
- Decoding MEG data by Alexandre Gramfort
- EEG Data Analysis Part 1 by Julian Keil
- EEG Data Analysis Part 2 by Julian Keil
- EEG Data Analysis Part 3 - Basics by Julian Keil
- EEG Data Analysis Part 4 - Basics by Julian Keil
- EEG Data Analysis Part 5 - Basics by Julian Keil
- EEG Data Analysis Part 6 - Basics by Julian Keil
- An introduction to MEG and the FieldTrip toolbox by Robert Oostenveld
- Fundamentals of the analysis of neuronal oscillations by Jan-Mathijs Schoffelen
- Beamforming source reconstruction by Jan-Mathijs Schoffelen
- Non-parametric randomisation techniques by Robert Oostenveld
We have a YouTube channel on which we post our own video material and on which we link to relevant material from others.
The NatMEG, the Swedish National MEG Facility at the Karolinska Institute in Stockholm, has recorded a set of scientific lectures and instructional videos on MEG. These can be viewed online here.
The SPM team at the Wellcome Trust Centre for Neuroimaging at UCL has also made a number of really nice course lecture videos available.
The EEGLAB team at the Swartz Center for Computational Neuroscience at the UCSD has recorded and published the video lectures at one of their training workshops. This includes lectures on Mining event-related brain dynamics, independent component analysis, localizing sources, statistics, mobile and real-time EEG, etc.
Includes a set of lecture series from Dr. Cohen from Donders Centre for Neuroscience (DCN), Radboud University, based on his book on Analyzing Neural Time Series Data.
- Introduction to EEG Time Series
- Static Spectral Analysis
- Time Frequency Analysis
- Synchronization
- Permutation Based Statistics
You can also reach the older version of the lecture series from here.