Metadata-Version: 2.1
Name: harmoni
Version: 0.0.2
Summary: harmonic minimization method for eliminating harmonic-driven connectivity with MEEG
Home-page: https://github.com/harmonic-minimization/harmoni
Author: Mina Jamshidi
Author-email: minajamshidi91@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Classifier: License :: OSI Approved
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Provides-Extra: dev
License-File: LICENSE

# HARMomic miNImization (Harmoni)
A tool for removing harmonic for MEEG connectivity

![version](https://img.shields.io/badge/version-0.0.1-blue)
![Python](https://img.shields.io/badge/Python-3.6-green)
![linux](https://github.com/harmonic-minimization/harmoni/actions/workflows/linux.yml/badge.svg)
![macos](https://github.com/harmonic-minimization/harmoni/actions/workflows/macos.yml/badge.svg)
![windows](https://github.com/harmonic-minimization/harmoni/actions/workflows/windows.yml/badge.svg)

<p align="center">
  <img src="harmoni_logo.png"/>
</p>

HARMONI
==========

HARMONI is an open-source Python package for eliminating/suppressing the spurious phase synchronization due to the non-sinusoidal shape of the neuronal oscillations. It can be used in connectivity pipelines for investigating within- and cross-frequency phase synchronization with electrophysiological data.

### Citation

Harmoni: a Novel Method for Eliminating Spurious Neuronal Interactions due to the Harmonic Components in Neuronal Data
Mina Jamshidi Idaji, Juanli Zhang, Tilman Stephani, Guido Nolte, Klaus-Robert Mueller, Arno Villringer, Vadim V. Nikulin
https://doi.org/10.1101/2021.10.06.463319




