Investigation of four-layer multi-layer perceptron with glia connections of hidden-layer neurons

A glia is a nervous cell existing in a brain. This cell transmits signals by various ion concentrations. By the ion concentration, the glia correlates the neuron by ions. Thus, the glia composes the network different to the neural network. We proposed a four-layer Multi-Layer Perceptron (MLP) with glia connections of hidden-layer neurons which is inspired from characteristics of the biological glia. The proposed MLP has two hidden-layer. In this network, we connect the glia to the neurons in two hidden-layer. The glia receives the output of connecting neuron and the outputs are summed. When the summed value is over the glia excitation threshold, this glia is excited. The excited glia generates a pulse. This pulse input to the thresholds of connecting glias. We consider that the glia gives the energy to the MLP and the glia give the position relationship of neurons in the different layers. By the simulation, we confirm that the proposed MLP obtains a high solving ability. Moreover, we investigate the characteristics of the proposed MLP.