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We present a generalisation of Rosenblatt's traditional perceptron learning algorithm to the class of proximal activation functions and demonstrate how this generalisation can be interpreted as an incremental gradient method applied to a novel energy function. !^k!98B$.q?->/0`Y>aFiM7YO-_4pMr5G'T+QWe- Psychological Review. N-p]iq=s1!W4AoaTM9]-o-ZT5# ^CVM#B=X6"W*=cfL[s55^Xs%M:-O_X$o=@ 8;XELgN"5l')_n2"!6]4'>aX1._fe:P20qP[>DGZ#\N-OGF;lu897LZH,q/F. 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S. McCulloch and W. Pitts. 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