A Simple Spiking Neuron with Periodic Input: Basic Bifurcation and Encoding Function
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
The learning of moment neuronal networks
Neurocomputing
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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