{ "info": { "author": "Jeffrey Gill", "author_email": "jeffrey.p.gill@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Scientific/Engineering" ], "description": "|neurotic logo| neurotic\n========================\n\n*Curate, visualize, annotate, and share your behavioral ephys data using Python*\n\n|PyPI badge| |GitHub badge| |Docs badge| |Build badge| |Coverage badge|\n\nDocumentation_ | `Release Notes`_ | `Issue Tracker`_\n\n**neurotic** is an app for Windows, macOS, and Linux that allows you to easily\nreview and annotate your electrophysiology data and simultaneously captured\nvideo. It is an easy way to load your Neo_-compatible data into ephyviewer_\nwithout doing any programming. Share a single metadata file with your\ncolleagues and they too will quickly be looking at the same datasets!\n\nTo use the app, first organize your datasets in a *metadata file* like this\n(see `Configuring Metadata`_):\n\n.. code-block:: yaml\n\n my favorite dataset:\n description: This time it actually worked!\n\n data_dir: C:\\local_dir_containing_files\n remote_data_dir: http://myserver/remote_dir_containing_downloadable_files # optional\n data_file: data.axgx\n video_file: video.mp4\n # etc\n\n video_offset: -3.4 # seconds between start of video and data acq\n epoch_encoder_possible_labels:\n - label01\n - label02\n plots:\n - channel: I2\n ylim: [-30, 30]\n - channel: RN\n ylim: [-60, 60]\n # etc\n\n filters: # used only if fast loading is off (lazy=False)\n - channel: Force\n lowpass: 50\n # etc\n amplitude_discriminators: # used only if fast loading is off (lazy=False)\n - name: B3 neuron\n channel: BN2\n units: uV\n amplitude: [50, 100]\n # etc\n\n another dataset:\n # etc\n\nOpen your metadata file in **neurotic** and choose a dataset. If the data and\nvideo files aren't already on your local computer, the app can download them\nfor you, even from a password-protected server. Finally, click launch and the\napp will use a standard viewer layout to display your data to you using\nephyviewer_.\n\n|Example screenshot|\n\n*(Pictured above is a voracious Aplysia californica in the act of making the\nresearcher very happy.)*\n\nThe viewers are easy and intuitive to navigate (see `User Interface`_):\n\n- Pressing the play button will scroll through your data and video in real\n time, or at a higher or lower rate if the speed parameter is changed.\n- The arrow/WASD keys allow you to step through time in variable increments.\n- Jump to a time by clicking on an event in the event list or a table entry in\n the epoch encoder.\n- To show more or less time at once, right-click and drag right or left to\n contract or expand time.\n- Scroll the mouse wheel in the trace viewer or video viewer to zoom.\n- The epoch encoder can be used to block out periods of time during which\n something interesting is happening for later review or further analysis\n (saved to a CSV file).\n- All panels can be hidden, undocked, stacked, or repositioned on the fly.\n\nElectrophysiologists will find this tool useful even if they don't need the\nvideo synchronization feature!\n\n**Portability is easy with neurotic!** Use relative paths in your metadata file\nalong with a remotely accessible data store such as GIN_ to make your metadata\nfile fully portable. The same metadata file can be copied to a different\ncomputer, and downloaded files will automatically be saved to the right place.\nData stores can be password protected and **neurotic** will prompt you for a\nuser name and password. This makes it easy to share the **neurotic** experience\nwith your colleagues! \u00f0\u0178\u00a4\u00aa\n\nInstallation\n------------\n\n**neurotic** requires Python 3.6 or later. It also needs PyAV_, which is most\neasily installed using conda_::\n\n conda install -c conda-forge av\n\nPyAV must be installed manually, but all other dependencies will be installed\nwith **neurotic**.\n\nInstall the latest release version of **neurotic** from PyPI_ using ::\n\n pip install -U neurotic\n\nor install the latest development version from GitHub_ using ::\n\n pip install -U git+https://github.com/jpgill86/neurotic.git\n\nNote that if you install the development version, you may also need the latest\ndevelopment version of ephyviewer_, which you can get using ::\n\n pip install -U git+https://github.com/NeuralEnsemble/ephyviewer.git\n\nGetting Started\n---------------\n\nIf you installed **neurotic** into a conda environment, first activate it::\n\n conda activate \n\nLaunch the app from the command line::\n\n neurotic\n\nA simple example is provided. Select the \"example dataset\", download the\nassociated data (~7 MB), and then click \"Launch\". See `User Interface`_ for\nhelp with navigation.\n\nDisabling \"Fast loading\" before launch will enable additional features\nincluding amplitude-threshold spike detection and signal filtering.\n\nTo inspect the metadata file associated with the example or to make changes to\nit, click \"Edit metadata\". See `Configuring Metadata`_ for details about the\nformat.\n\nIf you prefer Jupyter notebooks, you can launch an example notebook instead for\nexperimenting with **neurotic**'s API::\n\n neurotic --launch-example-notebook\n\nThe command line interface accepts other arguments too:\n\n.. code-block::\n\n usage: neurotic [-h] [-V] [--no-lazy] [--thick-traces] [--show-datetime]\n [--theme {light,dark,original,printer-friendly}]\n [--launch-example-notebook]\n [file] [dataset]\n\n neurotic lets you curate, visualize, annotate, and share your behavioral ephys\n data.\n\n positional arguments:\n file the path to a metadata YAML file (default: an example\n file)\n dataset the name of a dataset in the metadata file to select\n initially (default: the first entry in the metadata\n file)\n\n optional arguments:\n -h, --help show this help message and exit\n -V, --version show program's version number and exit\n --no-lazy do not use fast loading (default: use fast loading)\n --thick-traces enable support for traces with thick lines, which has\n a performance cost (default: disable thick line\n support)\n --show-datetime display the real-world date and time, which may be\n inaccurate depending on file type and acquisition\n software (default: do not display)\n --theme {light,dark,original,printer-friendly}\n a color theme for the GUI (default: light)\n --launch-example-notebook\n launch Jupyter with an example notebook instead of\n starting the standalone app (other args will be\n ignored)\n\n.. |neurotic logo| image:: https://raw.githubusercontent.com/jpgill86/neurotic/master/neurotic/gui/icons/img/neurotic-logo-30.png\n :alt: Project logo\n\n.. |PyPI badge| image:: https://img.shields.io/pypi/v/neurotic.svg?logo=python&logoColor=white\n :target: PyPI_\n :alt: PyPI project\n\n.. |GitHub badge| image:: https://img.shields.io/badge/github-source_code-blue.svg?logo=github&logoColor=white\n :target: GitHub_\n :alt: GitHub source code\n\n.. |Docs badge| image:: https://img.shields.io/readthedocs/neurotic/latest.svg?logo=read-the-docs&logoColor=white\n :target: ReadTheDocs_\n :alt: Documentation Status\n\n.. |Build badge| image:: https://img.shields.io/travis/com/jpgill86/neurotic/master.svg?logo=travis-ci&logoColor=white\n :target: Travis_\n :alt: Build status\n\n.. |Coverage badge| image:: https://coveralls.io/repos/github/jpgill86/neurotic/badge.svg?branch=master\n :target: Coveralls_\n :alt: Coverage status\n\n.. |Example screenshot| image:: https://raw.githubusercontent.com/jpgill86/neurotic/master/docs/_static/example-screenshot.png\n :target: https://raw.githubusercontent.com/jpgill86/neurotic/master/docs/_static/example-screenshot.png\n :alt: Screenshot\n\n.. _conda: https://docs.conda.io/projects/conda/en/latest/user-guide/install/\n.. _Configuring Metadata: https://neurotic.readthedocs.io/en/latest/metadata.html\n.. _Coveralls: https://coveralls.io/github/jpgill86/neurotic?branch=master\n.. _Documentation: 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