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Neuron models for artificial and biological neural networks. (A) The oldest neuron model in artificial neural networks and computer science. It can be implemented very efficiently in hardware and is used for the results of Esser et al. (1). (B) The most common neuron model for applications of backprop in artificial neural networks. (C) A spiking neuron model, which reflects more aspects of neurons in the brain.
