Metadata-Version: 2.1
Name: IPFX
Version: 1.0.0
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
Description: 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.
        
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
