Set of tools for basic analysis of electrophysiological data. The Python classes show how to call OpenElectrophy functions and save data. The R library applies circular statistics to spike phase data and saves the best von Mises fit and the Rayleigh statistics on the disk.

The wavelet coherence analysis is done in R by the package "sowas". Check the module R_coherence to see how we solved that problem.

This packages may be useful for people who start using OpenElectrophy and circular statistics in R.

If you find errors, please report them.

The project is still in development, so in the future you'll get updates.

Project Samples

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow Electrophysiology & circular stats tools

Electrophysiology & circular stats tools Web Site

You Might Also Like
Translate docs, audio, and videos in real time with Google AI Icon
Translate docs, audio, and videos in real time with Google AI

Make your content and apps multilingual with fast, dynamic machine translation available in thousands of language pairs.

Google Cloud’s AI-powered APIs help you translate documents, websites, apps, audio files, videos, and more at scale with best-in-class quality and enterprise-grade control and security.
Rate This Project
Login To Rate This Project

User Reviews

There are no 2 star reviews.

Additional Project Details

Programming Language

Python, S/R

Related Categories

Python Scientific Engineering, Python Data Analytics Tool, S/R Scientific Engineering, S/R Data Analytics Tool

Registered

2012-05-25