Spike Train

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A sequence of neural signals that are identical in size and shape, and occur in a specific time frame. Spike trains provide the ‘raw data’ from which acoustic pulses are translated by the brain into meaningful sounds
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The blue curve in Figure 9(a) shows the results of the average number of codes detected in recorded spike trains of 9 trials for code numbers 1-21 (code spectrum) from 63 electrodes of Sample A during 200 ms after stimulation expressed as 2000 times the bin data.
The orange curve in Figure 9(a) shows the best fit to the number of codes detected in spike trains of 2000 time bins of Sample A using code spectra [E.
Moreover, it was possible to estimate the neuronal network parameters to some extent by recording spike trains with electrode without sorting.
Spike trains can be observed in a neuronal network.
To analyze spike trains, the metrics between spike trains have been proposed on the basis of the alignment of the distances and convolution metrics, including traditional rate coding [1].
However, the flip side of this flexibility, at least from the observer's point of view, is that there appears to be ambiguity in how a particular spike train should be interpreted.
The corresponding muscle stretch velocity is shown beneath the spike trains.
So Richmond and Optican decided to start from scratch in testing the patterns seen in the spike train.
To answer this, Optican and Richmond proposed the multiplex filter model, explaining what might be creating these patterns in the spike train.
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.
Just as DNA, the bearer of genetic information, eventually yielded its informational language to scientific code breakers, researchers believe that nervous system spike trains will soon reveal themselves as the neural equivalents of words and sentences.