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. Author manuscript; available in PMC: 2012 Sep 6.
Published in final edited form as: IEEE Trans Neural Syst Rehabil Eng. 2010 Jul 15;19(1):54–63. doi: 10.1109/TNSRE.2010.2056390

Fig. 1.

Fig. 1

Schematic representation of the factors involved in the calculation of the normalization factor. The signal s(t) is segmented into active segments sk(t). For each active segment there are 2nu possible MUAP combinations xk (sets of circles, each set here showing the 4 possible combinations of 2 different MUAPs). A segment-wise annotation X (heavy line) is equivalent to a path through this trellis and corresponds to a specific firing pattern T. The likelihood of the annotation is the product of shape-dependent factors associated with each active segment and firing-time-dependent factors associated with the firing pattern. Computing the normalization factor requires summing the likelihoods of all possible paths.