Unsupervised Learning in an Ensemble of Spiking Neural Networks Mediated by ITDP
Fig 3
A voter and the voter ensemble network (NC = 4).
(Left) A voter and the predefined firing probabilities of each voter neuron for a set of virtual input samples X = {x1, x2, …, xM}. (Right) The voter ensemble network. The weight represents the weight of connection from the ith neuron of the jth voter to the kth neuron of the final voter.