ERPWAVELAB a toolbox for multi-channel analysis of time-frequency transformed event related potentials

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

ERPWAVELAB a toolbox for multi-channel analysis of time-frequency transformed event related potentials. / Mørup, Morten; Hansen, Lars Kai; Arnfred, Sidse M.

In: Journal of Neuroscience Methods, Vol. 161, No. 2, 15.04.2007, p. 361-8.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Mørup, M, Hansen, LK & Arnfred, SM 2007, 'ERPWAVELAB a toolbox for multi-channel analysis of time-frequency transformed event related potentials', Journal of Neuroscience Methods, vol. 161, no. 2, pp. 361-8. https://doi.org/10.1016/j.jneumeth.2006.11.008

APA

Mørup, M., Hansen, L. K., & Arnfred, S. M. (2007). ERPWAVELAB a toolbox for multi-channel analysis of time-frequency transformed event related potentials. Journal of Neuroscience Methods, 161(2), 361-8. https://doi.org/10.1016/j.jneumeth.2006.11.008

Vancouver

Mørup M, Hansen LK, Arnfred SM. ERPWAVELAB a toolbox for multi-channel analysis of time-frequency transformed event related potentials. Journal of Neuroscience Methods. 2007 Apr 15;161(2):361-8. https://doi.org/10.1016/j.jneumeth.2006.11.008

Author

Mørup, Morten ; Hansen, Lars Kai ; Arnfred, Sidse M. / ERPWAVELAB a toolbox for multi-channel analysis of time-frequency transformed event related potentials. In: Journal of Neuroscience Methods. 2007 ; Vol. 161, No. 2. pp. 361-8.

Bibtex

@article{8f8622dbbb4c48ac8bbe4b679631a893,
title = "ERPWAVELAB a toolbox for multi-channel analysis of time-frequency transformed event related potentials",
abstract = "The open source toolbox 'ERPWAVELAB' is developed for multi-channel time-frequency analysis of event related activity of EEG and MEG data. The toolbox provides tools for data analysis and visualization of the most commonly used measures of time-frequency transformed event related data as well as data decomposition through non-negative matrix and multi-way (tensor) factorization. The decompositions provided can accommodate additional dimensions like subjects, conditions or repeats and as such they are perfected for group analysis. Furthermore, the toolbox enables tracking of phase locked activity from one channel-time-frequency instance to another as well as tools for artifact rejection in the time-frequency domain. Several other features are highlighted. ERPWAVELAB can freely be downloaded from www.erpwavelab.org, requires EEGLAB [Delorme A, Makeig S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Meth 2004;134:9-21] and runs under MATLAB (The Mathworks, Inc.).",
keywords = "Algorithms, Brain/physiology, Brain Mapping/methods, Computer Graphics, Electroencephalography/methods, Evoked Potentials/physiology, Humans, Magnetoencephalography/methods, Software, User-Computer Interface",
author = "Morten M{\o}rup and Hansen, {Lars Kai} and Arnfred, {Sidse M}",
year = "2007",
month = apr,
day = "15",
doi = "10.1016/j.jneumeth.2006.11.008",
language = "English",
volume = "161",
pages = "361--8",
journal = "Journal of Neuroscience Methods",
issn = "0165-0270",
publisher = "Elsevier",
number = "2",

}

RIS

TY - JOUR

T1 - ERPWAVELAB a toolbox for multi-channel analysis of time-frequency transformed event related potentials

AU - Mørup, Morten

AU - Hansen, Lars Kai

AU - Arnfred, Sidse M

PY - 2007/4/15

Y1 - 2007/4/15

N2 - The open source toolbox 'ERPWAVELAB' is developed for multi-channel time-frequency analysis of event related activity of EEG and MEG data. The toolbox provides tools for data analysis and visualization of the most commonly used measures of time-frequency transformed event related data as well as data decomposition through non-negative matrix and multi-way (tensor) factorization. The decompositions provided can accommodate additional dimensions like subjects, conditions or repeats and as such they are perfected for group analysis. Furthermore, the toolbox enables tracking of phase locked activity from one channel-time-frequency instance to another as well as tools for artifact rejection in the time-frequency domain. Several other features are highlighted. ERPWAVELAB can freely be downloaded from www.erpwavelab.org, requires EEGLAB [Delorme A, Makeig S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Meth 2004;134:9-21] and runs under MATLAB (The Mathworks, Inc.).

AB - The open source toolbox 'ERPWAVELAB' is developed for multi-channel time-frequency analysis of event related activity of EEG and MEG data. The toolbox provides tools for data analysis and visualization of the most commonly used measures of time-frequency transformed event related data as well as data decomposition through non-negative matrix and multi-way (tensor) factorization. The decompositions provided can accommodate additional dimensions like subjects, conditions or repeats and as such they are perfected for group analysis. Furthermore, the toolbox enables tracking of phase locked activity from one channel-time-frequency instance to another as well as tools for artifact rejection in the time-frequency domain. Several other features are highlighted. ERPWAVELAB can freely be downloaded from www.erpwavelab.org, requires EEGLAB [Delorme A, Makeig S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Meth 2004;134:9-21] and runs under MATLAB (The Mathworks, Inc.).

KW - Algorithms

KW - Brain/physiology

KW - Brain Mapping/methods

KW - Computer Graphics

KW - Electroencephalography/methods

KW - Evoked Potentials/physiology

KW - Humans

KW - Magnetoencephalography/methods

KW - Software

KW - User-Computer Interface

U2 - 10.1016/j.jneumeth.2006.11.008

DO - 10.1016/j.jneumeth.2006.11.008

M3 - Journal article

C2 - 17204335

VL - 161

SP - 361

EP - 368

JO - Journal of Neuroscience Methods

JF - Journal of Neuroscience Methods

SN - 0165-0270

IS - 2

ER -

ID: 193667750