  Brain signals constitute the information that are processed by millions of
brain neurons (nerve cells and brain cells). These brain signals can be
recorded and analyzed using various of non-invasive techniques such as the
Electroencephalograph (EEG), Magneto-encephalograph (MEG) as well as
brain-imaging techniques such as Magnetic Resonance Imaging (MRI), Computed
Tomography (CT) and others, which will be discussed briefly in this paper. This
paper discusses about the currently emerging techniques such as the usage of
different Deep Learning (DL) algorithms for the analysis of these brain signals
and how these algorithms will be helpful in determining the neurological status
of a person by applying the signal decoding strategy.
