A neural behavior estimation by the generalized correlative analysis

The authors propose an approach to magnetoencephalogram (MEG) analysis. The problem of obtaining the current signal flow in the brain reduces to the inverse problem, the governing equation of which is written in an integral form. The authors propose a generalized correlative analysis method based on the Cauchy-Schwarz relation to solve the system equation derived from the governing equation. As a result, they have succeeded in estimating current signal flows in the human brain. A comparison between the conventional single dipole model and generalized corrective analyses has demonstrated that the proposed method is far superior to the conventional one.<
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