Spiking perceptrons

A more plausible biological version of the traditional perceptron is presented here with a learning rule which enables training of the neuron on nonlinear tasks. Three different models are introduced with varying inhibitory and excitatory, synaptic connections. Using the derived learning rule. a single neuron is trained to successfully classify the XOR problem