Research Article
Building Recurrent Neural Networks to Implement Multiple Attractor Dynamics Using the Gradient Descent Method
Figure 3
Error and Kullback-Leibler
divergence between the teaching sequences and output generated by the RNN for 20 000 learning steps in experiment 1.