![]() ![]() Compute Spectro-Spatial Decomposition (SSD) spatial filters.Receptive Field Estimation and Prediction.Linear classifier on sensor data with plot patterns and filters.Compute effect-matched-spatial filtering (EMS).Analysis of evoked response using ICA and PCA reduction techniques.Decoding sensor space data with generalization across time and conditions.Decoding in time-frequency space using Common Spatial Patterns (CSP).Motor imagery decoding from EEG data using the Common Spatial Pattern (CSP). ![]() Machine Learning (Decoding, Encoding, and MVPA).Analysing continuous features with binning and regression in sensor space.FDR correction on T-test on sensor data.Permutation F-test on sensor data with 1D cluster level.Time-frequency on simulated data (Multitaper vs.Explore event-related dynamics for specific frequency bands.Compute induced power in the source space with dSPM.Compute source power spectral density (PSD) of VectorView and OPM data.Compute source power spectral density (PSD) in a label.Compute power and phase lock in label of the source space.Compute Power Spectral Density of inverse solution from single epochs.Compute a cross-spectral density (CSD) matrix.Plot custom topographies for MEG sensors.Compare evoked responses for different conditions.Plot single trial activity, grouped by ROI and sorted by RT.Whitening evoked data with a noise covariance.Plotting topographic maps of evoked data.Plotting topographic arrowmaps of evoked data.Visualize channel over epochs as an image.How to convert 3D electrode positions to a 2D image.Plot sensor denoising using oversampled temporal projection.Annotate movement artifacts and reestimate dev_head_t.Maxwell filter data with movement compensation.Interpolate bad channels for MEG/EEG channels.Compare the different ICA algorithms in MNE.Visualise NIRS artifact correction methods.Reduce EOG artifacts through regression.Transform EEG data using current source density (CSD).Identify EEG Electrodes Bridged by too much Gel.Define target events based on time lag, plot evoked response.Cortical Signal Suppression (CSS) for removal of cortical signals.Simulate raw data using subject anatomy.Compare simulated and estimated source activity.Reading/Writing a noise covariance matrix.How to use data in neural ensemble (NEO) format.Creating MNE-Python data structures from scratch. ![]()
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