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Effect of synaptic weight assignment on spiking neuron response

Three synaptic weight assignment schemes were proposed and their effect on the behavior of a spiking neuron was analyzed. To evaluate the proposed synaptic assignment schemes, a feed-forward Spiking Neural Network that can learn to recognize temporal sequences was proposed. This spiking neural network uses two of the proposed synaptic weight assignment schemes in conjunction with a spiking neuron model that uses a simplified linear soma potential function. The robustness and reliability of the proposed spiking neural network system were shown by the high (approximately 99%) temporal sequence recognition rate achieved during testing. Practical hardware implementation issues were also discussed.