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The architecture of spiking neural network (SNN) is depicted. There are three layers in the feedforward SNN. Input signals are encoded by the input layer and transmitted from the bottom to the top of SNN. An error is generated by the output layer with teaching current and backpropagated to the hidden layer with a dedicated channel different from the feedforward channel.
