Skip to main content

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

Project 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.

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ipfx-2.1.2.tar.gz (2.1 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ipfx-2.1.2-py3-none-any.whl (1.9 MB view details)

Uploaded Python 3

File details

Details for the file ipfx-2.1.2.tar.gz.

File metadata

  • Download URL: ipfx-2.1.2.tar.gz
  • Upload date:
  • Size: 2.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.19

File hashes

Hashes for ipfx-2.1.2.tar.gz
Algorithm Hash digest
SHA256 20e3cae0f2960bbb72988d907db1f117e1f5b1c1a9f8d9c3bb895d99c452a704
MD5 2381f3f859569dd24c01f0a8b950283e
BLAKE2b-256 f793b690f594282588cb01fc3310b5058338ce02ea0c63c2c6b02f5a39a67251

See more details on using hashes here.

File details

Details for the file ipfx-2.1.2-py3-none-any.whl.

File metadata

  • Download URL: ipfx-2.1.2-py3-none-any.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.19

File hashes

Hashes for ipfx-2.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 cc7845c99fba0ea2826d07148f4f143b0f14bbca28c248039297e3ccd541e2ba
MD5 0906f6e8b89e8fe5dc4b7079c6d0dcf9
BLAKE2b-256 5bb4f733d426f799555915beb636e07a0378fc37e83d2c94ab7fa228d58b6721

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page