Automatic learning in chaotic neural network

A learning rule which can automatically detect and learn an unknown pattern is proposed for a mutually connected neural network. We applied it to chaotic neural networks composed of neuron models with spatio-temporal inputs and refractoriness, and numerically analyzed the properties of the automatic learning.<
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