Unsupervised Learning in an Ensemble of Spiking Neural Networks Mediated by ITDP
Fig 12
(A, B, C) Training and test performances demonstrating generalization to unseen data (NE = 5). The testing phase starts at iteration 448 by freezing the weights and by replacing the input samples by the test set which was not shown to the system during the learning phase. (D) Test set error rates of the final output unit, (E) the average ensemble error rates, and (F) the training phase diversities (same as in Fig 11) over different ensemble sizes using the normal Gaussian selection scheme on the integer recognition problem. Each data point was plotted by averaging 50 runs, where the error bar shows the standard deviations. NCE calculations as in Fig 7.