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The model data can be downloaded here (24 MB).  The model data can be downloaded here (24 MB).

DeFleCT: Design of Flexible Cross-Talk Functions for Spatial Filtering of EEG/MEG data

The DeFleCT framework has been formulated and demonstrated in simulation in this paper:

Hauk O, Stenroos M.
A framework for the design of flexible cross-talk functions for spatial filtering of EEG/MEG data: DeFleCT.
Human Brain Mapping 2013

Ths Wiki page provides the

  • Matlab tools that implement the DeFleCT method and enable easy visualization of data on the cortex,
  • Data set that was used for making the examples in the paper
  • Scripts that produce the results of the examples in the paper.

Data set

For this study, we used the sample data set of MNE software that we processed according to the MNE manual: geometries for cortically-constrained source space and three-shell head model were created, sensors and the head geometry were co-registered, and a three-shell BEM model & the lead-field matrices for MEG and EEG were built. In addition, an estimate of the noise covariance matrix was constructed from pre-stimulus data. These were then imported to Matlab.

The model data can be downloaded here (24 MB).

CbuMeg: AnalyzingData/DeFleCT_SpatialFiltering_Tools (last edited 2014-02-03 13:34:17 by OlafHauk)