Room 416-419 Max Planck Institute for Empirical Aesthetics
Workshop: Analyzing Neurophysiological Data with MNE-Python
- A two-day workshop for exploring, visualizing and analyzing human neurophysiological data (EEG, MEG, ECoG) using the open-source Python library MNE (http://www.martinos.org/mne/stable/index.html)
- Cover basic topics and essential analysis steps: Preprocessing, data-visualization, time/frequency, statistics.
- Combination of short lectures and extended hands-on exercises.
- Goal: participants will understand the essential steps for analyzing neurophyiological data and they will applying them on their own individual datasets.
Dr. Jona Sassenhagen Postdoc at the “Fiebach Lab for Cognitive Neuroscience” (Goethe university).
Dr. Denis Engemann Researcher at the French National Institute of Computer Science
January 21, 2019 (Location: Room 416-419)
|9 – 9:30||reception + coffee + MNE clinic|
|9:30 – 10||introduction to MNE, Python, and Jupyter notebooks: example and overview of functionalities|
|10 – 11||basic processing: raw to evoked|
|11 – 12||detecting and visualizing artifacts|
|12 – 13||advanced artifact removal: maxfilter, SSP, ICA|
|13 – 13:45||LUNCH|
|13:45 – 15||advanced artifact removal: autoreject|
|15. – 16||training, training, training|
|16 – 17:30||advanced visualization of evoked data|
|17:30 – open end||Apéro / dinner / drinks, somewhere not too far from the workshop venue|
January 22, 2019 (Location: Think Tank, 4th floor)
|9:00 – 9:30||reception + coffee + MNE clinic|
|9:30 – 11||spectral and time-frequency analysis and plotting|
|11 – 12||basic univariate stats with MNE|
|12 – 13||mass univariate statistics with the MNE statistics module I|
|13 – 13:45||LUNCH|
|13:45 – 15||mass univariate stats with the MNE statistics module II|
|15 – 17||open hacking, open discussion, questions and FAQ|
- Basic knowledge of Python and Jupyter Notebooks
- Conceptual knowledge on neurophysiology.
In order to register, please send an E-Mail to email@example.com