Conpy: a Python module for spectral power mapping and functional connectivity analysis using DICS

Marijn van Vliet

Conpy: a Python module for spectral power mapping and functional connectivity analysis using DICS

Neurotieteen ja lääketieteellisen tekniikan laitos

Tutkimustuotos: Taiteellinen julkaisu ja ICT-julkaisu › Software › Scientific

Abstrakti

A Python library implementing the DICS beamformer for connectivity analysis and power mapping on the cortex. This is a Python reimplementation of the MATLAB code originally developed for [1]. This repository also holds the code complementing our submittion to the Frontiers Research Topic: From raw MEG/EEG to publication: how to perform MEG/EEG group analysis with free academic software

Alkuperäiskieli	Englanti
Tuotoksen media	Online
Tila	Julkaistu - 19 tammik. 2018
OKM-julkaisutyyppi	I2 Tieto- ja viestintätekniset sovellukset

Pääsy asiakirjaan

https://github.com/wmvanvliet/conpyLisenssi: Muu

Siteeraa tätä

@misc{f5589af39fcc43dc8b63bcd3f3666ab4,

title = "Conpy: a Python module for spectral power mapping and functional connectivity analysis using DICS",

abstract = "A Python library implementing the DICS beamformer for connectivity analysis and power mapping on the cortex. This is a Python reimplementation of the MATLAB code originally developed for [1]. This repository also holds the code complementing our submittion to the Frontiers Research Topic: From raw MEG/EEG to publication: how to perform MEG/EEG group analysis with free academic software",

keywords = "Python, DICS, Functional connectivity, MEG, MNE-Python",

author = "{van Vliet}, Marijn",

year = "2018",

month = jan,

day = "19",

language = "English",

}

TY - ADVS

T1 - Conpy: a Python module for spectral power mapping and functional connectivity analysis using DICS

AU - van Vliet, Marijn

PY - 2018/1/19

Y1 - 2018/1/19

N2 - A Python library implementing the DICS beamformer for connectivity analysis and power mapping on the cortex. This is a Python reimplementation of the MATLAB code originally developed for [1]. This repository also holds the code complementing our submittion to the Frontiers Research Topic: From raw MEG/EEG to publication: how to perform MEG/EEG group analysis with free academic software

AB - A Python library implementing the DICS beamformer for connectivity analysis and power mapping on the cortex. This is a Python reimplementation of the MATLAB code originally developed for [1]. This repository also holds the code complementing our submittion to the Frontiers Research Topic: From raw MEG/EEG to publication: how to perform MEG/EEG group analysis with free academic software

KW - Python

KW - DICS

KW - Functional connectivity

KW - MEG

KW - MNE-Python

M3 - Software

ER -

Conpy: a Python module for spectral power mapping and functional connectivity analysis using DICS

Abstrakti

Pääsy asiakirjaan

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