Skip to main content

Xenon LFP Analysis Platform

Project description

Xenon LFP Analysis Platform

Introduction

This is an interactive platform for analyzing bandpass filtered (1 to 2048 Hz) Local Field Potential (LFP) activity and seizure-like activity. This Graphical User Interface (GUI) is built in Python using Plotly's Dash library for interactive visualizations, this includes several features to generate summary measures, plots, trace LFP activity over time, and for people familiar with basic Python this can also serve as a boiler plate to customize, add functions and visualization based on individual researchers’ analysis requirements. We demonstrate this new python-based software tool for analysis and tracking of local field potential activity using the 3Brain MEA recording system but it can easily be adapted to any MEA recording platform. This GUI is also easily adaptable to large-scale EEG recordings and likely can provide a useful mapping tool for In-Vivo LFP activity. Our current GUI has a particular utility for analysis of seizure-like activity but can be used for analysis of any network LFP signal.

Installation:

pip install xenon_lfp_analysis

Run the Xenon LFP Analysis GUI:

After installation you can run the GUI by running the following command in the terminal:

$>run_lfp_analysis

Documentation

https://xenon-lfp-analysis.readthedocs.io/en/latest/index.html

PrePrint

https://www.biorxiv.org/content/10.1101/2022.03.25.485521v1

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

xenon_lfp_analysis-0.0.4.tar.gz (44.6 kB view details)

Uploaded Source

Built Distribution

xenon_lfp_analysis-0.0.4-py3-none-any.whl (46.6 kB view details)

Uploaded Python 3

File details

Details for the file xenon_lfp_analysis-0.0.4.tar.gz.

File metadata

  • Download URL: xenon_lfp_analysis-0.0.4.tar.gz
  • Upload date:
  • Size: 44.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.7.9

File hashes

Hashes for xenon_lfp_analysis-0.0.4.tar.gz
Algorithm Hash digest
SHA256 1e03deae78cd4cdd21099b28ecda7c663fb5469ae2e9db90c6277d2abca52856
MD5 adf968dd34009465d59456c8a319f13e
BLAKE2b-256 c56e0c5d42201a88335cd5b80bcc36e056383101319e97f3b83ea5b71eb165e6

See more details on using hashes here.

File details

Details for the file xenon_lfp_analysis-0.0.4-py3-none-any.whl.

File metadata

File hashes

Hashes for xenon_lfp_analysis-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 545a355c0418211ac94841c376acdd568b299ea43d9bf5c060d1212b3eef79e3
MD5 333507a0ab7d3d273db62d33cb49ba70
BLAKE2b-256 3c5d1407dde9a50425430941a8accb7ba5f07b4c2e8f8d07b83efd4ec8051309

See more details on using hashes here.

Supported by

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