@article{c66abef0c5a1495896c0aa98cc88b389,
title = "How the Accuracy and Computational Cost of Spiking Neuron Simulation are Affected by the Time Span and Firing Rate",
abstract = "It is known that, depending on the numerical method, the simulation accuracy of a spiking neuron increases monotonically and that the computational cost increases in a power-law complexity as the time step reduces. Moreover, the mechanism responsible for generating the action potentials also affects the accuracy and computational cost. However, little attention has been paid to how the time span and firing rate influence the simulation. This study describes how the time span and firing rate variables affect the accuracy, computational cost, and efficiency. It was found that the simulation is importantly affected by these two variables.",
keywords = "Accuracy, Computational cost, Firing rate, Hodgkin-Huxley, Izhikevich, Leaky integrate-and-fire, Numerical method, Simulation, Spiking neuron, Time span, Time step",
author = "Sergio Valadez-God{\'i}nez and Humberto Sossa and Ra{\'u}l Santiago-Montero",
note = "Funding Information: S. Valadez-God{\'i}nez would like to thank CONACYT and SIP-IPN for the scholarship granted in pursuit of his doctoral studies. H. Sossa would like to thank SIP-IPN and CONACYT under grants 20170693 and 65 (Fronteras de la Ciencia) for the economical support to carry out this research. R. Santiago-Montero would like to thank Instituto Tecnol{\'o}gico de Le{\'o}n and Tecnol{\'o}gico Nacional de M{\'e}xico.",
year = "2017",
doi = "10.13053/CyS-21-4-2787",
language = "Ingl{\'e}s",
volume = "21",
pages = "841--861",
journal = "Computacion y Sistemas",
issn = "1405-5546",
number = "4",
}