Abstract
In this paper, the space mapping (SM) technique is used for solving the inverse problem of electroencephalographic dipole source localization. By using SM, we obtained an adequate solution with a minimum of CPU-time by combining the accuracy of a fine model with the speed of a coarse model. The performance when solving the inverse problem using SM versus direct optimisation techniques was investigated in the presence of noise in the measured potentials.
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