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.
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Hemmen et al. (1986) studied this question.
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