Table 1: SampEn statistical characteristics for both classes NC AEGM and C AEGM when a spike train
of probability [p.sub.s] is added.
The temporal correlations among spike trains
have been associated with the neural coding, stimuli discrimination, and process related to attention .
(a) Neural drive as estimated by low-pass filtering of the cumulative motor unit spike train
. All muscles exhibit tremulous drive, whereas voluntary drive is also present in the right extensor muscle.
Previous studies observed the effects of complex spike trains
in LTP/LTD induction by using paired bursts of spikes with varying pre/postintervals and burst frequency [53, 54].
When T is increasing to 15[degrees]C, spike train
patterns become bursts, and the number of spikes per burst will be reduced if the temperature is further increased (up to T = 20[degrees]C), for high temperatures again regular single-spike activity occurs (T = 35[degrees]C), but with higher spiking frequency.
By changing the basic accepting period [a.sub.0] and the positive and negative weight balance parameter c, we can generate spike trains
for each type of electrode Em catching from m (m = 2, 3, ..., 9) surrounding neurons.
The spike trains
they generate depend not solely on the stimulus but also can be influenced by other factors.
When the bar position changed, the number of spikes sent along one of the visual neurons didn't change, but the pattern of firing -- the spacing of spikes in the spike train
-- did change in a very reproducible way.
Note that, in the communication, each neuron can receive not whole spike wave but spike train
including the codes.
These nuclei receive inputs from both ears, integrate the information, and send it by means of neural spike trains
to the upper nuclei in the auditory pathway [30-36].
The SSM measure Q takes values in [0, 1], with 0 when spike trains
are desynchronized and 1 when there is perfect coincidence of spikes.
A template matching system was used to isolate and extract multiple, simultaneous single-unit spike trains
. Temporal linkages between spike trains
were evaluated using recurrence-time history mapping (RTHM), a algorithm for enhancing conventional conditional cross-correlograms.