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 2.0.0 release of IPFX drops support for Python 3.6 which reached end of life and stopped receiving security updated on December 23, 2021. IPFX is now tested on Python 3.9 and higher.
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Metadata
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Release files for IPFX 2.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ipfx-2.1.2.tar.gz | 2.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ipfx-2.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.9 MB
Release files / ipfx-2.1.2.tar.gz
| Download URL | ipfx-2.1.2.tar.gz |
|---|---|
| Size | 2.1 MB |
| Tags | Source |
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| Uploaded via |
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Release files / ipfx-2.1.2-py3-none-any.whl
| Download URL | ipfx-2.1.2-py3-none-any.whl |
|---|---|
| Size | 1.9 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.19
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