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DOC: glossary for minimum-norm estimate #6865

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Oct 1, 2019
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DOC: glossary for minimum-norm estimate #6865

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DOC: glossary for minimum-norm estimate
klankinen Oct 1, 2019
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Corrected quote marks
klankinen Oct 1, 2019
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8 changes: 8 additions & 0 deletions doc/glossary.rst
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Expand Up @@ -137,6 +137,14 @@ general neuroimaging concepts. If you think a term is missing, please consider
label
A :class:`Label` refers to a region in the cortex, also often called
a region of interest (ROI) in the literature.

minimum-norm estimation
Minimum-norm estimation (abbr. ''MNE'') can be used to generate a distributed
map of activation on a :term:'source space', usually on a cortical surface.
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probably need backticks rather than single quotes on these to get it to render properly in Sphinx

MNE uses a linear :term:'inverse operator' to project sensor measurements
into the source space. The :term:'inverse operator' is computed from the
:term:'forward solution' for a subject and an estimate of the noise covariance
of sensor measurements.

layout
A :class:`Layout <mne.channels.Layout>` gives sensor positions in 2
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