IPFX 1.0.0b5

Intrinsic Physiology Feature Extractor (IPFX) - tool for computing neuronal features from the intracellular electrophysiological recordings

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.

Quick Start

To start analyzing data now, check out the quick_start . For a more in depth guide to IPFX, see tutorial

Contributing

We welcome contributions! Please see our contribution guide 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.