paperKB
coga / coga-kb
Help
Sign in

Chunk #142 — 3 Inverse solutions — 3.1 Non parametric optimization methods — 3.1.1 The Bayesian framework — Spatio-temporal regularization (ST-MAP)

Source
Review on solving the inverse problem in EEG source analysis.
Embedded
yes

Text

Time is taken into account in this model whereby the assumption is made that dipole magnitudes are evolving slowly with regard to the sampling frequency [4,15]. For a measurement taken at time t, assuming that D^t−1 and D^t may be very close to each other means that the orthogonal projection of D^t on the hyperplane ED^t−1⊥ perpendicular to D^t−1 is 'small'. The following nonlinear equation is obtained: