Automatic learning in chaotic neural network
Masataka Watanabe, Kazuyuki Aihara, S. Kondo · 2002
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. >