By Topic

A neural behavior estimation by the generalized correlative analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
H. Saotome ; Coll. of Eng., Hosei Univ., Tokyo, Japan ; K. Kitsuta ; S. Hayano ; Y. Saito

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

Published in:

IEEE Transactions on Magnetics  (Volume:29 ,  Issue: 2 )