All code is made available under the terms of the GNU General Public License.
If you use this code for your published work, please cite the corresponding publication.
Matlab code implementing the prevalence inference introduced in Allefeld, Görgen, & Haynes, Valid population inference for information-based imaging: From the second-level t-test to prevalence inference, 2016
Matlab code implementing the cross-validated MANOVA introduced in Allefeld & Haynes, Searchlight-based multi-voxel pattern analysis of fMRI by cross-validated MANOVA, 2014
Matlab code identifying metastable macrostates from data using the algorithm described by Allefeld, Atmanspacher, & Wackermann, Mental states as macrostates emerging from brain electrical dynamics, 2009
Matlab code computing the global descriptors of brain electrical activity of Wackermann, Towards a quantitative characterisation of functional states of the brain: From the non-linear methodology to the global linear description, 1999
Publication: Wackermann & Allefeld, State space representation and global descriptors of brain electrical activity, 2009
Matlab code implementing the SCA-M algorithm introduced in Allefeld & Bialonski, Detecting synchronization clusters in multivariate time series via coarse-graining of Markov chains, 2007
Matlab code implementing the SCA-E algorithm introduced in Allefeld, Müller, & Kurths. Eigenvalue decomposition as a generalized Synchronization Cluster Analysis, 2007
Matlab code implementing the Laplacian of Perrin et al., Spherical splines for scalp potential and current density mapping, 1989
Matlab code implementing the SCA algorithm introduced in Allefeld & Kurths, An approach to multivariate phase synchronization analysis and its application to event-related potentials, 2004
Matlab code assessing on simulated data the performance of different ways to perform a hypothesis test for phase synchronization
Publication: Allefeld & Kurths, Testing for Phase Synchronization, 2004