Dale's principle and modularity improve reservoir computing accuracy in small recurrent networks, while Hopfield symmetry degrades it by increasing neuron saturation.
Recurrent neural networks are universal approximators
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Organizational Regularities in Recurrent Neural Networks
Dale's principle and modularity improve reservoir computing accuracy in small recurrent networks, while Hopfield symmetry degrades it by increasing neuron saturation.