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- name : Apply non-parametric statistics with clustering on TFRs of power that were computed with BESA
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link : /example/apply_clusterrandanalysis_on_tfrs_of_power_that_were_computed_with_besa
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+ - name : BIDS - the brain imaging data structure
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+ link : /example/bids
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- name : Converting an example audio dataset for sharing in BIDS
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link : /example/bids_audio
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- name : Simulate an oscillatory signal with phase resetting
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link : /example/phase_reset
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+ - name : Find the orientation of planar gradiometers
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+ link : /example/planar_orientation
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- name : Plotting the result of source reconstruction on a cortical mesh
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link : /example/plotting_source_surface
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- name : Create MNI-aligned grids in individual head-space
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link : /example/sourcemodel_aligned2mni
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+ - name : Fitting a template MRI to the MEG Polhemus head shape
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+ link : /example/sphere_fitting
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- name : Analyze Steady-State Visual Evoked Potentials (SSVEPs)
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link : /example/ssvep
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- name : Create MNI-aligned grids in individual head-space
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link : /example/sourcemodel_aligned2mni
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+ - name : Fitting a template MRI to the MEG Polhemus head shape
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+ link : /example/sphere_fitting
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- name : Testing BEM created EEG lead fields
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link : /example/testing_bem_created_leadfields
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- name : Create MNI-aligned grids in individual head-space
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link : /example/sourcemodel_aligned2mni
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+ - name : Fitting a template MRI to the MEG Polhemus head shape
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+ link : /example/sphere_fitting
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- name : Use denoising source separation (DSS) to remove ECG artifacts
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link : /example/use_denoising_source_separation_dss_to_remove_ecg_artifacts
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