Dipole modeling is a computational technique used to estimate the location and strength of neural sources based on measured electromagnetic fields, particularly in the context of brain imaging methods like magnetoencephalography (MEG). This approach simplifies the complex electrical activity of the brain into a finite number of point-like sources, or dipoles, which can be mathematically manipulated to produce source localization results that help researchers understand brain function.
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