Unsupervised Learning in an Ensemble of Spiking Neural Networks Mediated by ITDP
Fig 14
Average performances of STDP and ITDP ensembles over 50 trials on the MNIST handwritten digits task using selected/supervised gating WTAs for different feature selection schemes and ensemble sizes (NE = 5, 9, 16, 25).
The training and test phases were run for three and two rounds of dataset presentation respectively. The error bars represent the standard deviations of the performances from corresponding repeated runs.