Building Recurrent Neural Networks to Implement Multiple Attractor Dynamics Using the Gradient Descent Method : Figure 12

]>Building Recurrent Neural Networks to Implement Multiple Attractor Dynamics Using the Gradient Descent Method : Figure 12

Figure 12: Average of the th learning ratio for the connections between internal units and orthogonal units for 200 000 learning steps in experiment 1.