Model Based Approaches

Thus, source localization depends on the use of nested computational models that describe the distribution of neural currents and that predict the observable consequences of those currents. These models are based on implicit or explicit knowledge and assumptions about the nature of the system. The first 50 years of work with EEG involved little quantitative effort to localize the sources of observed topographies in the surface potential data. The development of MEG and the recognition that many observed field distributions could be explained by a simple forward model led to advances in procedures that have subsequently been applied to EEG data.

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