%0 Journal Article
%T Less Is Enough: Assessment of the Random Sampling Method for the Analysis of Magnetoencephalography (MEG) Data
%J Mathematical and Computational Applications | An Open Access Journal from MDPI
%D 2019
%R https://doi.org/10.3390/mca24040098
%X Magnetoencephalography (MEG) aims at reconstructing the unknown neuroelectric activity in the brain from non-invasive measurements of the magnetic field induced by neural sources. The solution of this ill-posed, ill-conditioned inverse problem is usually dealt with using regularization techniques that are often time-consuming, and computationally and memory storage demanding. In this paper we analyze how a slimmer procedure, random sampling, affects the estimation of the brain activity generated by both synthetic and real sources. View Full-Tex
%U https://www.mdpi.com/2297-8747/24/4/98