|neurotic logo| neurotic: NEUROscience Tool for Interactive Characterization

Curate, visualize, annotate, and share your behavioral ephys data using Python

Documentation_ | Release Notes_ | Issue Tracker_

neurotic is an app for Windows, macOS, and Linux that allows you to easily review and annotate your electrophysiology data and simultaneously captured video. It is an easy way to load your Neo_-compatible data (see neo.io_ for file formats) into ephyviewer_ without doing any programming. Share a single metadata file with your colleagues and they too will quickly be looking at the same datasets!

To use the app, first organize your datasets in a metadata file like this (see Configuring Metadata_):

.. code-block:: yaml

my favorite dataset:
    description: This time it actually worked!

    data_dir:           C:\local_dir_containing_files
    remote_data_dir:    http://myserver/remote_dir_containing_downloadable_files  # optional
    data_file:          data.axgx
    video_file:         video.mp4
    # etc

    video_offset: -3.4  # seconds between start of video and data acq
    epoch_encoder_possible_labels:
        - label01
        - label02
    plots:
        - channel: I2
          ylim: [-30, 30]
        - channel: RN
          ylim: [-60, 60]
        # etc

    filters:  # used only if fast loading is off (lazy=False)
        - channel: Force
          lowpass: 50
        # etc
    amplitude_discriminators:  # used only if fast loading is off (lazy=False)
        - name: B3 neuron
          channel: BN2
          units: uV
          amplitude: [50, 100]
        # etc

another dataset:
    # etc

Open your metadata file in neurotic and choose a dataset. If the data and video files aren't already on your local computer, the app can download them for you, even from a password-protected server or from Google Drive. Finally, click launch and the app will use a standard viewer layout to display your data to you using ephyviewer_.

|Example screenshot|

In the screenshot above, the video frame shows a voracious sea slug (Aplysia californica) swallowing a strip of unbreakable seaweed attached to a force transducer. Implanted electrodes recorded from a muscle and the major nerves controlling feeding. The epoch encoder was used to mark the times when seaweed moved into the mouth. Spikes corresponding to activity of identified neurons were detected by neurotic using customizable parameters.

The viewers are easy and intuitive to navigate (see User Interface_):

Pressing the play button will scroll through your data and video in real time, or at a higher or lower rate if the speed parameter is changed.
The arrow/WASD keys allow you to step through time in variable increments.
Jump to a time by clicking on an event in the event list or a table entry in the epoch encoder.
To show more or less time at once, right-click and drag right or left to contract or expand time.
Scroll the mouse wheel in the trace viewer or video viewer to zoom.
The epoch encoder can be used to block out periods of time during which something interesting is happening for later review or further analysis (saved to a CSV file).
All panels can be hidden, undocked, stacked, or repositioned on the fly.

Electrophysiologists will find this tool useful even if they don't need the video synchronization feature!

Portability is easy with neurotic! Use relative paths in your metadata file along with a remotely accessible data store such as GIN_ or a Shared Drive on Google Drive to make your metadata file fully portable. The same metadata file can be copied to a different computer, and downloaded files will automatically be saved to the right place. Data stores can be password protected and neurotic will prompt you for a user name and password. This makes it easy to share the neurotic experience with your colleagues! 🤪

Installing neurotic

neurotic requires Python 3.7 or later.

Standalone Installers (recommended for beginners) .................................................

Downloadable installers make installing neurotic easy for beginners. They can be downloaded from the GitHub Releases page:

`👉 Download installers here (listed under "Assets") 👈`__

__ `GitHub Releases`_

These installers are intended for users who do not want to independently install Python or conda just to use neurotic. They will install neurotic and everything it needs (including a fully contained Python environment) into a dedicated directory on your computer. On Windows, the installer will also create a Start Menu shortcut for launching the app.

For developers, a recipe for building new installers using conda constructor_ is maintained here: constructor recipe_.

Alternate Method: conda (recommended for Pythonistas) .....................................................

conda_ users can install neurotic and all of its dependencies with one command::

conda install -c conda-forge neurotic

On Windows, this will also create a Start Menu shortcut for launching the app.

Alternate Method: pip .....................

Install neurotic from PyPI_ using ::

pip install neurotic

Note that installation via pip skips one dependency: PyAV_, which is required for displaying videos, and without which neurotic will ignore videos. PyAV is not easily installed with pip on some systems, especially Windows. The easiest way to separately install PyAV is using conda_::

conda install -c conda-forge av

Updating neurotic

The recommended method of updating neurotic depends on the original method of installation.

If you are unsure what method you used, updating using conda or pip is likely to work. Standalone installers may be safe too, though this could lead to having multiple version installed simultaneously.

Updating with Standalone Installers ...................................

If you previously installed neurotic using a standalone installer, you may install a newer version using another installer, either into a different directory or by first uninstalling the old version. Installers can be downloaded from the GitHub Releases page:

`👉 Download installers here (listed under "Assets") 👈`__

__ `GitHub Releases`_

Alternatively, if a new installer is not currently available for your platform, or if you would just like a much faster method, you may use the command line tools provided by the installer (via the "Anaconda Prompt" on Windows, or the Terminal on macOS and Linux)::

conda update -c conda-forge neurotic

Updating with conda ...................

If you installed neurotic with conda_, you can update to the latest release using ::

conda update -c conda-forge neurotic

Updating with pip .................

If you installed neurotic using pip, you can update to the latest release available on PyPI_ using ::

pip install -U neurotic

Development Version ...................

If you are interested in trying new, unreleased features of neurotic, you may install the latest development version from GitHub_ using ::

pip install -U git+https://github.com/jpgill86/neurotic.git

Note that if you install the development version, you may also need the latest development version of ephyviewer_, which you can get using ::

pip install -U git+https://github.com/NeuralEnsemble/ephyviewer.git

Getting Started

Windows users who installed using a standalone installer or conda_ should be able to launch neurotic from the Start Menu.

Mac and Linux users, as well as Windows users, can use the Terminal, command line, or Anaconda Prompt to start the app:

Depending on your operating system, installation method, and environment settings, you may be able to just launch the app from the command line by invoking its name::

neurotic
If the command is not recognized, you likely need to first activate the conda environment into which the app was installed::

conda activate

If you used a standalone installer, the environment name may be "neurotic", so you would use ::

conda activate neurotic

You can then try again invoking the app name::

neurotic

Several examples are provided. Select one, download the associated data using the "Download data" menu action, and then click "Launch". See User Interface_ for help with navigation.

Disabling "Fast loading" before launch will enable additional features including amplitude-threshold spike detection and signal filtering.

To inspect the metadata file associated with the examples or to make changes to it, click "Edit metadata". See Configuring Metadata_ for details about the format.

If you like working with Jupyter notebooks, you can launch an example notebook that includes a tutorial for using neurotic's API::

neurotic --launch-example-notebook

The command line interface accepts other arguments too:

.. code-block::

usage: neurotic [-h] [-V] [--debug | --no-debug] [--lazy | --no-lazy]
                [--thick-traces | --no-thick-traces]
                [--show-datetime | --no-show-datetime]
                [--ui-scale {tiny,small,medium,large,huge}]
                [--theme {light,dark,original,printer-friendly}]
                [--use-factory-defaults] [--launch-example-notebook]
                [file] [dataset]

neurotic lets you curate, visualize, annotate, and share your behavioral ephys
data.

positional arguments:
  file                  the path to a metadata YAML file (default: an example
                        file)
  dataset               the name of a dataset in the metadata file to select
                        initially (default: the first entry in the metadata
                        file)

optional arguments:
  -h, --help            show this help message and exit
  -V, --version         show program's version number and exit
  --debug               enable detailed log messages for debugging
  --no-debug            disable detailed log messages for debugging (default)
  --lazy                enable fast loading (default)
  --no-lazy             disable fast loading
  --thick-traces        enable support for traces with thick lines, which has
                        a performance cost
  --no-thick-traces     disable support for traces with thick lines (default)
  --show-datetime       display the real-world date and time, which may be
                        inaccurate depending on file type and acquisition
                        software
  --no-show-datetime    do not display the real-world date and time (default)
  --ui-scale {tiny,small,medium,large,huge}
                        the scale of user interface elements, such as text
                        (default: medium)
  --theme {light,dark,original,printer-friendly}
                        a color theme for the GUI (default: light)
  --use-factory-defaults
                        start with "factory default" settings, ignoring other
                        args and your global config file

alternative modes:
  --launch-example-notebook
                        launch Jupyter with an example notebook instead of
                        starting the standalone app (other args will be
                        ignored)

Defaults for arguments and options can be changed in a global config file,
.neurotic\neurotic-config.txt, located in your home directory.

Citing neurotic

To cite neurotic in your publication, please refer to:

Gill, J. P., Garcia, S., Ting, L. H., Wu, M., & Chiel, H. J. (2020).
*neurotic*: Neuroscience Tool for Interactive Characterization. eNeuro,
7(3). https://doi.org/10.1523/ENEURO.0085-20.2020

Specific versions of the software can be cited from archives at Zenodo_.

Documentation

For detailed information on configuring metadata, working examples, the API reference guide, release notes, and more, see the Documentation_.

.. |neurotic logo| image:: https://raw.githubusercontent.com/jpgill86/neurotic/master/neurotic/gui/icons/img/neurotic-logo-30.png :alt: Project logo

.. |PyPI badge| image:: https://img.shields.io/pypi/v/neurotic.svg?logo=python&logoColor=white :target: PyPI_ :alt: PyPI project

.. |Anaconda badge| image:: https://img.shields.io/conda/vn/conda-forge/neurotic.svg?label=anaconda&logo=anaconda&logoColor=white :target: Anaconda Cloud_ :alt: Anaconda Cloud project

.. |Installers badge| image:: https://img.shields.io/github/v/release/jpgill86/neurotic?label=installers&logo=github&logoColor=white&sort=semver :target: GitHub Releases_ :alt: Installers

.. |GitHub badge| image:: https://img.shields.io/badge/github-source_code-blue.svg?logo=github&logoColor=white :target: GitHub_ :alt: GitHub source code

.. |Feedstock badge| image:: https://img.shields.io/badge/conda--forge-feedstock-blue.svg?logo=conda-forge&logoColor=white :target: conda-forge feedstock_ :alt: conda-forge feedstock

.. |Constructor badge| image:: https://img.shields.io/badge/constructor-recipe-blue.svg :target: constructor recipe_ :alt: constructor recipe

.. |GitHub Actions badge| image:: https://img.shields.io/github/actions/workflow/status/jpgill86/neurotic/tests.yml?branch=master&label=tests&logo=github&logoColor=white :target: GitHub Actions_ :alt: Tests status

.. |Azure badge| image:: https://dev.azure.com/conda-forge/feedstock-builds/apis/build/status/neurotic-feedstock?branchName=master :target: conda-forge CI :alt: conda-forge build status

.. |Docs badge| image:: https://img.shields.io/readthedocs/neurotic/latest.svg?logo=read-the-docs&logoColor=white :target: ReadTheDocs_ :alt: Documentation status

.. |Coverage badge| image:: https://coveralls.io/repos/github/jpgill86/neurotic/badge.svg?branch=master :target: Coveralls_ :alt: Coverage status

.. |Zenodo badge| image:: https://img.shields.io/badge/DOI-10.5281/zenodo.3564990-blue.svg :target: Zenodo_ :alt: Zenodo archive

.. |eNeuro badge| image:: https://img.shields.io/badge/DOI-10.1523/ENEURO.0085--20.2020-blue.svg :target: eNeuro_ :alt: eNeuro article

.. |Example screenshot| image:: https://raw.githubusercontent.com/jpgill86/neurotic/master/docs/_static/example-screenshot.png :target: https://raw.githubusercontent.com/jpgill86/neurotic/master/docs/_static/example-screenshot.png :alt: Screenshot

.. _Anaconda Cloud: https://anaconda.org/conda-forge/neurotic .. _conda: https://docs.conda.io/projects/conda/en/latest/user-guide/install/ .. _conda constructor: https://github.com/conda/constructor .. _constructor recipe: https://github.com/jpgill86/neurotic-constructor .. _conda-forge CI: https://dev.azure.com/conda-forge/feedstock-builds/_build/latest?definitionId=8417&branchName=master .. _conda-forge feedstock: https://github.com/conda-forge/neurotic-feedstock .. _Configuring Metadata: https://neurotic.readthedocs.io/en/latest/metadata.html .. _Coveralls: https://coveralls.io/github/jpgill86/neurotic?branch=master .. _Documentation: https://neurotic.readthedocs.io/en/latest .. _eNeuro: https://doi.org/10.1523/ENEURO.0085-20.2020 .. _ephyviewer: https://ephyviewer.readthedocs.io/en/latest .. _GIN: https://gin.g-node.org .. _GitHub: https://github.com/jpgill86/neurotic .. _GitHub Actions: https://github.com/jpgill86/neurotic/actions?query=workflow%3Atests .. _GitHub Releases: https://github.com/jpgill86/neurotic/releases .. _Issue Tracker: https://github.com/jpgill86/neurotic/issues .. _Neo: https://neo.readthedocs.io/en/latest .. _neo.io: https://neo.readthedocs.io/en/latest/io.html#module-neo.io .. _PyAV: https://docs.mikeboers.com/pyav/develop/overview/installation.html .. _PyPI: https://pypi.org/project/neurotic .. _ReadTheDocs: https://readthedocs.org/projects/neurotic .. _Release Notes: https://neurotic.readthedocs.io/en/latest/releasenotes.html .. _User Interface: https://ephyviewer.readthedocs.io/en/latest/interface.html .. _Zenodo: https://doi.org/10.5281/zenodo.3564990

neurotic
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Metadata

|neurotic logo| neurotic: NEUROscience Tool for Interactive Characterization

Installing neurotic

Updating neurotic

Getting Started

Citing neurotic

Documentation

← Metadata

Owner

Metadata

neurotic neurotic copied to clipboard

Metadata

|neurotic logo| neurotic: NEUROscience Tool for Interactive Characterization

Installing neurotic

Updating neurotic

Getting Started

Citing neurotic

Documentation

← Metadata

Owner

Metadata

neurotic
neurotic copied to clipboard