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.
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