Unsupervised Learning in an Ensemble of Spiking Neural Networks Mediated by ITDP
Fig 5
Spike trains from the SEM ensemble network with NE = 5 and random feature selection.
(Left) Plot shows the input neuron spikes from eight image presentations from different classes (digits) which are depicted in different colors (black: 0, red: 1, green: 2, blue: 4). (Right) Two graphs show the output spikes of ensemble, gating, and final WTA neurons before and after learning. The colors of the spikes represent which class is being presented as input. After learning the network outputs produce consistent firing patterns, each output spiking exclusively for a single class.