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Merge branch 'dev' into docs/update_index
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docs/gallery/domain/plot_icephys.py

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- :py:class:`~pynwb.icephys.RepetitionsTable` groups sequential recordings from
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the :py:class:`~pynwb.icephys.SequentialRecordingsTable`. In practice a
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repetition is often also referred to a run. A typical use of the
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py:class:`~pynwb.icephys.RepetitionsTable` is to group sets of different stimuli
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:py:class:`~pynwb.icephys.RepetitionsTable` is to group sets of different stimuli
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that are applied in sequence that may be repeated.
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- :py:class:`~pynwb.icephys.ExperimentalConditionsTable` groups repetitions of
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intracellular recording from the :py:class:`~pynwb.icephys.RepetitionsTable`
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#####################################################################
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# The :py:class:`~pynwb.icephys.IntracellularRecordingsTable` table is not just a ``DynamicTable``
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# but an ``AlignedDynamicTable`. The ``AlignedDynamicTable` type is itself a ``DynamicTable``
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# but an ``AlignedDynamicTable``. The ``AlignedDynamicTable`` type is itself a ``DynamicTable``
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# that may contain an arbitrary number of additional ``DynamicTable``, each of which defines
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# a "category". This is similar to a table with "sub-headings". In the case of the
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# :py:class:`~pynwb.icephys.IntracellularRecordingsTable`, we have three predefined categories,
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# i.e., electrodes, stimuli, and responses. We can also dynamically add new categories to
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# the table. As each category corresponds to a DynamicTable, this means we have to create a
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# new DynamicTable and add it to our table.
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# the table. As each category corresponds to a ``DynamicTable``, this means we have to create a
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# new ``DynamicTable`` and add it to our table.
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# Create a new DynamicTable for our category that contains a location column of type VectorData
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location_column = VectorData(

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