Introductory tutorials to MNE.
Filtering and resampling data
Artifact Correction with ICA
Artifact correction with Maxwell filter
Rejecting bad data (channels and segments)
Artifact Correction with SSP
Introduction to artifacts and artifact detection
Background information on filtering
FreeSurfer integration with MNE-Python
Statistical inference
Brainstorm auditory tutorial dataset
Brainstorm CTF phantom dataset tutorial
Brainstorm Elekta phantom dataset tutorial
Computing a covariance matrix
Configuring MNE python
Creating MNE’s data structures from scratch
DICS for power mapping
Source localization with equivalent current dipole (ECD) fit
The role of dipole orientations in distributed source localization
Working with ECoG data
EEG processing and Event Related Potentials (ERPs)
Epoching and averaging (ERP/ERF)
Export epochs to Pandas DataFrame
Head model and forward computation
Compute ICA on MEG data and remove artifacts
The Info data structure
Basic MEG and EEG data processing
Pandas querying and metadata with Epochs objects
Source localization with MNE/dSPM/sLORETA/eLORETA
Computing various MNE solutions
Modifying data in-place
Morphing source estimates: Moving data from one brain to another
The events and Annotations data structures
The Epochs data structure: epoched data
The Evoked data structure: evoked/averaged data
The Raw data structure: continuous data
The SourceEstimate data structure
4D Neuroimaging/BTi phantom dataset tutorial
Corrupt known signal with point spread
Introduction to Python
Spectro-temporal receptive field (STRF) estimation on continuous data
Decoding (MVPA)
Frequency and time-frequency sensors analysis
Source alignment and coordinate frames
Non-parametric 1 sample cluster statistic on single trial power
Visualising statistical significance thresholds on EEG data
Permutation t-test on source data with spatio-temporal clustering
2 samples permutation test on source data with spatio-temporal clustering
Repeated measures ANOVA on source data with spatio-temporal clustering
Non-parametric between conditions cluster statistic on single trial power
Mass-univariate twoway repeated measures ANOVA on single trial power
Spatiotemporal permutation F-test on full sensor data
Visualize Epochs data
Visualize Evoked data
Visualize Raw data
Visualize Source time courses
Plotting whitened data
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