@ARTICLE\{IMM2007-04828,
    author       = "M. M{\o}rup and L. K. Hansen and S. M. Arnfred",
    title        = "{ERPWAVELAB} A toolbox for multi-channel analysis of time-frequency transformed event related potentials",
    year         = "2007",
    keywords     = "{EEG,} {MEG,} multi-channel time-frequency analysis toolbox, wavelet analysis, Non-negative Decomposition, Event related potentials, {PARAFAC}/{TUCKER,} Coherence, artifact rejection in time-frequency domain.",
    pages        = "361-368",
    journal      = "Journal of Neuroscience Methods",
    volume       = "161",
    editor       = "",
    number       = "",
    publisher    = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/4828-full.html",
    abstract     = "The 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 high-lighted.
{ERPWAVELAB} can freely be downloaded from
www.erpwavelab.org, requires {EEGLAB} and runs
under {MATLAB} (The Mathworks, Inc.)"
}