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FIGURE 2. Graphical representation of sigmoidal networks. Here, r is dimensionality of input, s is number of basis functions, and each node represents dot product of input and local weights, followed by a sigmoidal transfer function. Output node has linear transfer function (linear regression on basis functions). Sigmoidal network for perfusion imaging has 20 inputs (10 samples each of blood and tissue timeactivity curve), 52 basis functions, and 1 output (perfusion). Use of single output is explained in Discussion.
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