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Added draft documentation for HED and NWB
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# HED annotation in NWB (draft) | ||
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[**Neurodata Without Borders (NWB)**](https://www.nwb.org/) is a data standard for organizing neurophysiology data. | ||
NWB is used extensively as the data representation for single cell and animal recordings as well as | ||
human neuroimaging modalities such as IEEG. HED (Hierarchical Event Descriptors) is a system of | ||
standardized vocabularies and supporting tools that allows fine-grained annotation of data. | ||
HED annotations can now be used in NWB. | ||
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A standardized HED vocabulary is referred to as a HED schema. | ||
A single term in a HED vocabulary is called a HED tag. | ||
A HED string consists of one or more HED tags separated by commas and possibly grouped using parentheses. | ||
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The [**ndx-hed**](https://github.com/hed-standard/ndx-hed) extension consists of a `HedTags` class that extends | ||
the NWB [**VectorData**](https://hdmf-common-schema.readthedocs.io/en/stable/format.html#sec-dynamictable) class, | ||
allowing HED data to be added as a column to any NWB [**DynamicTable**](https://hdmf-common-schema.readthedocs.io/en/stable/format.html#sec-dynamictable). | ||
`VectorData` and `DynamicTable` are base classes for many NWB data structures. | ||
See the [**DynamicTable Tutorial**](https://hdmf.readthedocs.io/en/stable/tutorials/plot_dynamictable_tutorial.html#sphx-glr-tutorials-plot-dynamictable-tutorial-py) | ||
for a basic guide for usage in Python and | ||
[**DynamicTable Tutorial (MATLAB)**](https://neurodatawithoutborders.github.io/matnwb/tutorials/html/dynamic_tables.html) | ||
for introductory usage in MATLAB. | ||
The `ndx-hed` extension is not currently supported in MATLAB, although support is planned in the future. | ||
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## NWB ndx-hed installation | ||
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Should it be uploaded to PyPi? | ||
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## NWB ndx-hed examples | ||
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### HedTags as a standalone vector | ||
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The `HedTags` class has two required arguments (`hed_version` and `data`) and two optional arguments | ||
(`name` and `description`). | ||
The result of the following example is a `HedTags` object whose data vector includes 2 elements. | ||
Notice that the `data` argument value is a list with 2 values representing two distinct HED strings. | ||
These values are validated using HED schema version 8.3.0 when `tags` is created. | ||
If any of the tags had been invalid, the constructor would have raised a `ValueError`. | ||
The example uses the default column name (`HED`) and the default column description. | ||
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````{admonition} Create a HedTags object. | ||
:class: tip | ||
```python | ||
tags = HedTags(hed_version='8.3.0', data=["Correct-action", "Incorrect-action"]) | ||
``` | ||
```` | ||
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You must specify the version of the HED vocabulary to be used. | ||
We recommend that you use the latest version of HED (currently 8.3.0). | ||
A separate HED version is used for each instance of the `HedTags` column, | ||
so in theory you could use a different version for each column. | ||
This is not recommended, as annotations across columns and tables may be combined for analysis. | ||
See [**Understanding HED versions**](./UnderstandingHedVersions.md) for a more detailed explanation | ||
of HED versioning. | ||
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### Adding a row to HedTags | ||
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The following example assumings that a `HedTags` object `tags` as already been | ||
created as illustrated in the previous example. | ||
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````{admonition} Add a row to an existing HedTags object | ||
:class: tip | ||
```python | ||
tags.add_row("Sensory-event, Visual-presentation") | ||
``` | ||
```` | ||
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After this `add_row` operation, `tags` has 3 elements. Notice that "Sensory-event, Visual-presentation" | ||
is a single HED string, not two HED strings. | ||
In contrast, ["Correct-action", "Incorrect-action"] is a list with two HED strings. | ||
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### HED in a table | ||
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The following color table uses HED tags to define the meanings of integer codes: | ||
| color_code | HED | | ||
|----- | --- | | ||
| 1 | `Red` | | ||
| 2 | `Green` | | ||
| 3 | `Blue` | | ||
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````{admonition} Create an NWB DynamicTable to represent the color table. | ||
:class: tip | ||
```python | ||
color_nums = VectorData(name="color_code", description="Internal color codes", data=[1,2,3]) | ||
color_tags = HedTags(name="HED", hed_version="8.2.0", data=["Red", "Green", "Blue"]) | ||
color_table = DynamicTable( | ||
name="colors", description="Experimental colors", columns=[color_num, color_tags]) | ||
``` | ||
```` | ||
The example sets up a table with columns named `color_code` and `HED`. | ||
Table `colors` has 3 rows. | ||
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### Add a row to a `DynamicTable` | ||
Once a table has been required, you can add a row using the table's `add_row` method. | ||
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````{admonition} Get row 0 of color_table as a Pandas DataFrame: | ||
```python | ||
df = color_table[0] | ||
``` | ||
Append a row to `color_table`: | ||
```python | ||
color_table.add_row(color_code=4, HED="Black") | ||
``` | ||
```` | ||
As mentioned above, the `DynamicTable` class is used as the base class for many table classes including the | ||
`TimeIntervals`, `Units`, and `PlaneSegmentation`. | ||
For example `icephys` classes that extend `DynamicTable` include `ExperimentalConditionsTable`, `IntracellularElectrodesTable`, | ||
`IntracellularResponsesTable`, `IntracellularStimuliTable`, `RepetitionsTable`, `SequentialRecordingsTable`, | ||
`SimultaneousRecordingsTable` and the `SweepTable`. | ||
This means that HED can be used to annotate a variety of NWB data. | ||
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HED tools recognize a column as containing HED annotations if it is an instance of `HedTags`. | ||
This is in contrast to BIDS ([**Brain Imaging Data Structure**](https://bids.neuroimaging.io/)), | ||
which identifies HED in tabular files by the presence of a `HED` column, | ||
or by an accompanying JSON sidecar, which associates HED annotations with tabular column names. | ||
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## HED and ndx-events | ||
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The NWB [**ndx-events**](https://github.com/rly/ndx-events) extension provides data structures for | ||
representing event information about data recordings. | ||
The following table lists elements of the *ndx-events* extension that inherit from | ||
`DynamicTable` and can accommodate HED annotations. | ||
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```{list-table} ndx-events tables that can use HED. | ||
:header-rows: 1 | ||
:name: ndx-events-data-structures | ||
* - Table | ||
- Purpose | ||
- Comments | ||
* - `EventsTypesTable` | ||
- Information about each event type<br/>One row per event type. | ||
- Analogous to BIDS events.json. | ||
* - `EventsTable` | ||
- Stores event instances<br/>One row per event instance. | ||
- Analogous to BIDS events.tsv. | ||
* - `TtlTypesTable` | ||
- Information about each TTL type. | ||
- | ||
* - `TtlTable` | ||
- Information about each TTL instance. | ||
- | ||
``` | ||
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HED annotations that are common to a particular type of event can be added to e NWB `EventsTypesTable`, | ||
which is analogous to the `events.json` in BIDS. | ||
A `HED` column can be added to a BIDS `events.tsv` file to provide HED annotations specific | ||
to each event instance. | ||
Any number of `HedTags` columns can be added to the NWB `EventsTable` to provide different types | ||
of HED annotations for each event instance. | ||
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The HEDTools ecosystem currently supports assembling the annotations from all sources to construct | ||
complete annotations for event instances in BIDS. Similar support is planned for NWB files. | ||
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## HED in NWB files | ||
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A single NWB recording and its supporting data is stored in an `NWBFile` object. | ||
The NWB infrastructure efficiently handles reading, writing, and accessing large `NWBFile` objects and their components. | ||
The following example shows the creation of a simple `NWBFile` using only the required constructor arguments. | ||
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````{admonition} Create an NWBFile object called my_nwb. | ||
```python | ||
from datetime import datetime | ||
from dateutil.tz import tzutc | ||
from pynwb import NWBFile | ||
my_nwb = NWBFile(session_description='a test NWB File', | ||
identifier='TEST123', | ||
session_start_time=datetime(1970, 1, 1, 12, tzinfo=tzutc())) | ||
``` | ||
```` | ||
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An `NWBFile` has many fields, which can be set using optional parameters to the constructor | ||
or set later using method calls. | ||
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````{admonition} Add a HED trial column to an NWB trial table and add trial information. | ||
```python | ||
my_nwb.add_trial_column(name="HED", hed_version="8.3.0", col_cls=HedTags, data=[], description="temp") | ||
my_nwb.add_trial(start_time=0.0, stop_time=1.0, HED="Correct-action") | ||
my_nwb.add_trial(start_time=2.0, stop_time=3.0, HED="Incorrect-action") | ||
``` | ||
```` | ||
The optional parameters for the `NWBFile` constructor whose values can inherit from `DynamicTable` | ||
include `epochs`, `trials`, `invalid_times`, `units`, `electrodes`, `sweep_table`, | ||
`intracellular_recordings`, `icephys_simultaneous_recordings`, `icephys_repetitions`, and | ||
`icephys_experimental_conditions`. | ||
The `NWBFile` class has methods of the form `add_xxx_column` for the | ||
`epochs`, `electrodes`, `trials`, `units`,and `invalid_times` tables. | ||
The other tables also allow a HED column to be added by constructing the appropriate table | ||
prior to passing it to the `NWBFile` constructor. | ||
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In addition, the `stimulus` input is a list or tuple of objects that could include `DynamicTable` objects. | ||
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The NWB infrastructure provides IO functions to serialize these HED-augmented tables. |
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