MNE Biomag Demo 1.0
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          • Group analysis
          • Statistics and machine learning
          • Demos
          • Single-subject analyses

    Results¶

    Contents

    • Group analysis
    • Statistics and machine learning
    • Demos
    • Single-subject analyses

    Group analysis¶

    Qualitative group analysis plots.

    ../_images/sphx_glr_plot_compare_thumb.png

    Sensor-space comparison between subjects

    ../_images/sphx_glr_plot_group_thumb.png

    Group grand averages

    Statistics and machine learning¶

    Statistical analyses of the data.

    ../_images/sphx_glr_plot_sensor_cluster_stats_eeg_channel_thumb.png

    Temporal clustering on a single channel

    ../_images/sphx_glr_plot_sensor_spatio_temporal_cluster_stats_thumb.png

    Spatio-temporal sensor-space statistics (EEG)

    ../_images/sphx_glr_plot_sliding_estimator_thumb.png

    Decoding (ML) across time (MEG)

    ../_images/sphx_glr_plot_source_stats_thumb.png

    Spatio-temporal source-space statistics (MEG)

    Demos¶

    Some simple demos with the data.

    ../_images/sphx_glr_05a-compare_ica_thumb.png

    Remove ECG and EOG using ICA

    ../_images/sphx_glr_plot_fanning_thumb.png

    Baselining vs. Highpass filtering

    ../_images/sphx_glr_plot_filter_thumb.png

    Highpass and lowpass filters

    ../_images/sphx_glr_plot_ica_thumb.png

    Remove ECG and EOG using ICA

    ../_images/sphx_glr_plot_maxfilter_thumb.png

    Maxwell filtering in Python

    ../_images/sphx_glr_plot_psd_thumb.png

    PSD (linear vs log scale)

    ../_images/sphx_glr_plot_tsss_analysis_thumb.png

    Analysis for one subject with tSSS

    Single-subject analyses¶

    Analysis of individual subjects.

    ../_images/sphx_glr_plot_analysis_01_thumb.png

    Analysis for subject 01

    ../_images/sphx_glr_plot_analysis_02_thumb.png

    Analysis for subject 02

    ../_images/sphx_glr_plot_analysis_03_thumb.png

    Analysis for subject 03

    ../_images/sphx_glr_plot_analysis_04_thumb.png

    Analysis for subject 04

    ../_images/sphx_glr_plot_analysis_05_thumb.png

    Analysis for subject 05

    ../_images/sphx_glr_plot_analysis_06_thumb.png

    Analysis for subject 06

    ../_images/sphx_glr_plot_analysis_07_thumb.png

    Analysis for subject 07

    ../_images/sphx_glr_plot_analysis_08_thumb.png

    Analysis for subject 08

    ../_images/sphx_glr_plot_analysis_09_thumb.png

    Analysis for subject 09

    ../_images/sphx_glr_plot_analysis_10_thumb.png

    Analysis for subject 10

    ../_images/sphx_glr_plot_analysis_11_thumb.png

    Analysis for subject 11

    ../_images/sphx_glr_plot_analysis_12_thumb.png

    Analysis for subject 12

    ../_images/sphx_glr_plot_analysis_13_thumb.png

    Analysis for subject 13

    ../_images/sphx_glr_plot_analysis_14_thumb.png

    Analysis for subject 14

    ../_images/sphx_glr_plot_analysis_15_thumb.png

    Analysis for subject 15

    ../_images/sphx_glr_plot_analysis_16_thumb.png

    Analysis for subject 16

    ../_images/sphx_glr_plot_analysis_17_thumb.png

    Analysis for subject 17

    ../_images/sphx_glr_plot_analysis_18_thumb.png

    Analysis for subject 18

    ../_images/sphx_glr_plot_analysis_19_thumb.png

    Analysis for subject 19

    Download all examples in Python source code: auto_examples_python.zip
    Download all examples in Jupyter notebooks: auto_examples_jupyter.zip

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    © Copyright 2017, MNE Developers. Last updated on 2017-12-20.
    Created using Sphinx 1.6.2.