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==================================================
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For a generic introduction to the computation of ERP and ERF
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- see :ref:`tut_epoching_and_averaging`. Here we cover the specifics
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- of EEG, namely:
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+ see :ref:`tut_epoching_and_averaging`.
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- - setting the reference
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- - using standard montages :func:`mne.channels.Montage`
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- - Evoked arithmetic (e.g. differences)
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+ .. contents:: Here we cover the specifics of EEG, namely:
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+ :local:
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+ :depth: 1
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"""
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raw .plot_sensors ('3d' ) # in 3D
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###############################################################################
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- # Setting EEG montage
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- # -------------------
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+ # Setting EEG Montage (using standard montages)
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+ # ---------------------------------------------
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#
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# In the case where your data don't have locations you can set them
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# using a :class:`mne.channels.Montage`. MNE comes with a set of default
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evoked_custom .plot_topomap (times = [0.1 ], size = 3. , title = title , time_unit = 's' )
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###############################################################################
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- # Evoked arithmetic
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- # -----------------
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+ # Evoked arithmetic (e.g. differences)
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+ # ------------------------------------
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#
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# Trial subsets from Epochs can be selected using 'tags' separated by '/'.
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# Evoked objects support basic arithmetic.
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