Explorations with the Dynamic Wave Model

Part of Advances in Neural Information Processing Systems 8 (NIPS 1995)

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Thomas Rebotier, Jeffrey Elman


Following Shrager and Johnson (1995) we study growth of logi(cid:173) cal function complexity in a network swept by two overlapping waves: one of pruning, and the other of Hebbian reinforcement of connections. Results indicate a significant spatial gradient in the appearance of both linearly separable and non linearly separable functions of the two inputs of the network; the n.l.s. cells are much sparser and their slope of appearance is sensitive to parameters in a highly non-linear way.