Metadata-Version: 2.1
Name: IPFX
Version: 1.0.8
Summary: Intrinsic Physiology Feature Extractor (IPFX) - tool for computing neuronal features from the intracellular electrophysiological recordings
Home-page: https://github.com/AllenInstitute/ipfx
Author: Allen Institute for Brain Science
Author-email: Marmot@AllenInstitute.onmicrosoft.com
License: UNKNOWN
Keywords: neuroscience,bioinformatics,scientific
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: Other/Proprietary License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: AUTHORS.rst
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Welcome to Intrinsic Physiology Feature Extractor (IPFX)
==========================================

IPFX is a Python package for computing intrinsic cell features from electrophysiology data. With this package you can:

- Perform cell data quality control (e.g. resting potential stability)
- Detect action potentials and their features (e.g. threshold time and voltage)
- Calculate features of spike trains (e.g., adaptation index)
- Calculate stimulus-specific cell features

This software is designed for use in the Allen Institute for Brain Science electrophysiology data processing pipeline.

For usage and installation instructions, see the [documentation](https://ipfx.readthedocs.io/en/latest/).

Quick Start
------------
To start analyzing data now, check out the [quick_start](https://ipfx.readthedocs.io/en/latest/quick_start.html) . For a more in depth guide to IPFX, see [tutorial](https://ipfx.readthedocs.io/en/latest/tutorial.html)

Contributing
------------
We welcome contributions! Please see our [contribution guide](https://github.com/AllenInstitute/ipfx/blob/master/CONTRIBUTING.md) for more information. Thank you!

Deprecation Warning
-------------------
The 1.0.0 release of ipfx brings some new features, like NWB2 support, along with improvements to our documentation and testing. We will also drop support for
- NWB1
- Python 2

Older versions of ipfx will continue to be available, but may receive only occasional bugfixes and patches.


