On the Relevance of the Shape of Postsynaptic Potentials for the Computational Power of Spiking Neurons

Abstract: The firing of a neuron in a biological neural system causes in certain other neurons excitatory postsynaptic potential changes (EPSP's) that are not ``rectangular'', but have the form of a smooth hill. We prove in this article for a formal model of a network of spiking neurons, that the rising respectively declining segments of these EPSP's are in fact essential for the computational power of the model.

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