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# Sphinx build info version 1
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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"cell_type": "markdown",
"metadata": {},
"source": [
"First, we will import the packages needed for computing the inverse solution\nfrom the MNE somatosensory dataset. `MNE`_ can be installed with\n``pip install mne``, and the somatosensory dataset can be downloaded by\nimporting ``somato`` from ``mne.datasets``.\n\n"
"First, we will import the packages needed for computing the inverse solution\nfrom the MNE somatosensory dataset. `MNE`_ (and its dependency `NiBabel`_)\ncan be installed with ``pip install mne nibabel``\nThe somatosensory dataset can be downloaded by\nimporting ``somato`` from ``mne.datasets``.\n\n"
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###############################################################################
# First, we will import the packages needed for computing the inverse solution
# from the MNE somatosensory dataset. `MNE`_ can be installed with
# ``pip install mne``, and the somatosensory dataset can be downloaded by
# from the MNE somatosensory dataset. `MNE`_ (and its dependency `NiBabel`_)
# can be installed with ``pip install mne nibabel``
# The somatosensory dataset can be downloaded by
# importing ``somato`` from ``mne.datasets``.
import os.path as op
import matplotlib.pyplot as plt
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# .. LINKS
#
# .. _MNE: https://mne.tools/
# .. _NiBabel: https://nipy.org/nibabel/
# .. _HNN ERP tutorial: https://jonescompneurolab.github.io/hnn-tutorials/erp/erp
# .. _this MNE-python example: https://mne.tools/stable/auto_examples/inverse/plot_label_source_activations.html
# .. |mne_label_fig| image:: https://user-images.githubusercontent.com/20212206/106524603-cfe75c80-64b0-11eb-9607-3415195c3e7a.png
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29 changes: 13 additions & 16 deletions dev/_modules/hnn_core/cell.html
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