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A general theory of neural networks with nonlinear synapses is developed. To this end a meanfield model of a novel type is introduced and solved exactly. For suitable nonlinearity, synaptic sign changes may be eliminated altogether without affecting the efficiency of the network. Static noise is easily included.
Hemmen et al. (Mon,) studied this question.