EN: Neuro Veranstaltungs-Detailseiten – Max-Planck-Institut für empirische Ästhetik

Monday 21.01.2019 — Tuesday 22.01.2019 09:00 — 17:30
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