Application to biomedical signals - Practical Biomedical Signal Analysis Using MATLAB - page 165

FIGURE 4.24: (SEE COLOR INSERT) Integrals of ERC for frequency range
82-100 Hz calculated for three stages of an auditory word repetition task. (a) Audi-
tory perception stage, (b) response preparation, (c) verbal response. Arrows indicate
directionality of ERC. Width and color of each arrow represent the value of the ERC
integral. Color scale at the left. For clarity, only integrals for event-related flow in-
creases are shown. From [Korzeniewska et al., 2008].
FIGURE 4.25: Transforming spike train into continuous signal. A, LFP recorded
from hippocampus, B, standardized spike train, C, low-pass filtered spike train, D,
low-pass filtered spike train with 10% noise added. From [Kocsis and Kaminski,
2006].
subpopulation of SUM neurons contains information predicting future variations in
the LFP rhythm in hippocampus. In contrast, during slow spontaneous theta rhythm
it was the SUM spike train that can be predicted from the hippocampal activity.
The described procedure of turning the spike trains to the continuous signals opens
new perspectives of application of the methods of signal processing to point pro-