Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An inversion method based on random sampling for real-time MEG
  neuroimaging   The MagnetoEncephaloGraphy (MEG) has gained great interest in
neurorehabilitation training due to its high temporal resolution. The challenge
is to localize the active regions of the brain in a fast and accurate way. In
this paper we use an inversion method based on random spatial sampling to solve
the real-time MEG inverse problem. Several numerical tests on synthetic but
realistic data show that the method takes just a few hundredths of a second on
a laptop to produce an accurate map of the electric activity inside the brain.
Moreover, it requires very little memory storage. For this reasons the random
sampling method is particularly attractive in real-time MEG applications.

27
The categories of this paper are: comp-gas
23
The categories of this paper are: solv-int
17
The categories of this paper are: q-fin
31
The categories of this paper are: ao-sci
26
The categories of this paper are: bayes-an
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
36
The categories of this paper are: cmp-lg
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
32
The categories of this paper are: atom-ph
15
The categories of this paper are: nucl-ex
18
The categories of this paper are: econ
9
The categories of this paper are: nlin
2
The categories of this paper are: math
7
The categories of this paper are: hep-th