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In particular, a generic method for finding\nnonpropagating binary-output CNN templates is proposed, This method is\nbased on measurements of actual CNN-UM chips and combines adaptive\noptimization and decomposition of theoretically ideal CNN templates in\norder to correct the erroneous behavior of actual CNN-UM chips, which\nis mainly caused by imperfections introduced during fabrication, More\nspecifically, the entire array of cells in a CNN-UM chip is modeled by\na single feed-forward virtual cell whose optimal parameters are found\nby a simple and effective gradient-based method. In the case of binary\ninput-output uncoupled templates (or Boolean operators), a systematic\ntemplate decomposition method is applied whenever optimization fails to\nfind a correctly working CNN template for all possible combinations of\nlocal 3 x 3 binary input patterns. The resulting templates are finally\ncombined, yielding a simple CNN analogic algorithm. 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