- Align EEG electrode positions to BEM headmodel
- Analysis of high-gamma band signals in human ECoG
- Analyze Steady-State Visual Evoked Potentials (SSVEPs)
- Apply clusterrandanalysis on TFRs of power that were computed with BESA
- Can I create an artificial CTF dataset using MATLAB?
- Check the quality of the anatomical coregistration
- Combined EEG and MEG source reconstruction
- Common filters in beamforming
- Compute forward simulated data and apply a beamformer scan
- Compute forward simulated data and apply a dipole fit
- Computing and using estimates of effect size
- Correlation analysis in fMRI data
- Create MNI-aligned grids in individual head-space
- Creating a clean analysis script
- Cross-frequency analysis
- Detect the muscle activity in an EMG channel and use that as trial definition
- Determine the filter characteristics
- Effect of SNR on Coherence
- Effects of tapering for power estimates
- Example analysis pipeline for Biosemi data
- Example MATLAB scripts
- Example real-time average
- Example real-time classification
- Example real-time power estimate
- Example real-time selective average
- Example real-time signal viewer
- Example script for leadfield based on FEM headmodel
- Example use of the ft_compute_leadfield function
- Fit a dipole to the tactile ERF after mechanical stimulation
- Fixing a missing sensor
- Fourier analysis of neuronal oscillations and synchronization
- Getting started with reading raw EEG or MEG data
- Getting started with real-time analysis for BCI/neurofeedback
- How to import data from MNE-Python and FreeSurfer
- How to incorporate head movements in MEG analysis
- How to use ft_checkconfig
- Interpolating data from the CTF151 to the CTF275 sensor array using megrealign
- Localizing the sources underlying the difference in event related fields
- Make leadfields using different headmodels
- Making a memory efficient analysis script
- Making your own trialfun for conditional trial definition
- Measuring the timing delay and jitter for a real-time application
- Plotting the result of source reconstructing on a cortical mesh
- Preparing a combined MEG/fMRI dataset for sharing
- Preparing an EEG dataset for sharing
- Realtime neurofeedback application based on Hilbert phase estimation
- Simulate an oscillatory signal with phase resetting
- Source statistics
- Stratify the distribution of one variable that differs in two conditions
- Testing BEM created EEG lead fields
- The correct pipeline order for combining planar MEG channels
- Use independent component analysis (ICA) to remove ECG artifacts
- Use independent component analysis (ICA) to remove EOG artifacts
- Use simulated ERPs to explore cluster statistics
- Use your own forward leadfield model in an inverse beamformer computation