Noisy Spiking Neurons with Temporal Coding have more Computational Power than Sigmoidal Neurons. Maass, W.
abstract   bibtex   
We exhibit a novel way of simulating sigmoidal neural nets by networks of noisy spiking neurons in temporal coding. Furthermore it is shown that networks of noisy spiking neurons with temporal coding have a strictly larger computational power than sigmoidal neural nets with the same number of units.
@article{maass_noisy_nodate,
	title = {Noisy {Spiking} {Neurons} with {Temporal} {Coding} have more {Computational} {Power} than {Sigmoidal} {Neurons}},
	abstract = {We exhibit a novel way of simulating sigmoidal neural nets by networks of noisy spiking neurons in temporal coding. Furthermore it is shown that networks of noisy spiking neurons with temporal coding have a strictly larger computational power than sigmoidal neural nets with the same number of units.},
	language = {en},
	author = {Maass, Wolfgang},
	pages = {7}
}

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