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FIX: Fix docs
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doc/whats_new.rst

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Note, we are now using links to highlight new functions and classes.
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Please be sure to follow the examples below like :func:`mne.stats.f_mway_rm`, so the whats_new page will have a link to the function/class documentation.
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.. _changes_0_11:
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Version 0.11
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------------
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Changelog
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- :class:`mne.EpochsArray` no longer has an average EEG reference silently added (but not applied to the data) by default. Use :func:`mne.EpochsArray.add_eeg_average_proj` to properly add one.
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Authors
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The committer list for this release is the following (preceded by number of commits):
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171 Eric Larson
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117 Jaakko Leppakangas
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58 Jona Sassenhagen
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52 Mainak Jas
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46 Alexandre Gramfort
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33 Denis A. Engemann
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28 Teon Brooks
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24 Clemens Brunner
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23 Christian Brodbeck
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15 Mark Wronkiewicz
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10 Jean-Remi King
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5 Marijn van Vliet
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3 Fede Raimondo
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2 Alexander Rudiuk
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2 emilyps14
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2 lennyvarghese
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1 Marian Dovgialo
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- ``RawBrainVision`` objects now always have event channel ``'STI 014'``, and recordings with no events will have this channel set to zero by `Eric Larson`_
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- Add ``montage`` parameter to the ``create_info`` function to create the info using montages by `Teon Brooks`_
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- As default, for ICA the maximum number of PCA components equals the number of channels passed. The number of PCA components used to reconstruct the sensor space signals now defaults to the maximum number of PCA components estimated.
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- Remove artifacts module. Artifacts- and preprocessing related functions can now be found in mne.preprocessing.
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- Epochs objects now also take dicts as values for the event_id argument. They now can represent multiple conditions.
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- Add method to eliminate stimulation artifacts from raw data by linear interpolation or windowing by `Daniel Strohmeier`_.
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- New tutorial in the documentation and new classes and functions reference page by `Alex Gramfort`_.
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- New return values for the function find_ecg_events
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examples/datasets/plot_brainstorm_data.py

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raw_fname = data_path + '/MEG/bst_raw/' + \
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'subj001_somatosensory_20111109_01_AUX-f_raw.fif'
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raw = Raw(raw_fname, preload=True)
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raw = Raw(raw_fname, preload=True, add_eeg_ref=False)
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raw.plot()
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# set EOG channel
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raw.set_channel_types({'EEG058': 'eog'})
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raw.add_eeg_average_proj()
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# show power line interference and remove it
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raw.plot_psd()

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