title: Computational modeling of peripheral pain: a commentary.
abstract: This commentary is intended to find possible explanations for the low impact of computational modeling on pain research. We discuss the main strategies that have been used in building computational models for the study of pain. The analysis suggests that traditional models lack biological plausibility at some levels, they do not provide clinically relevant results, and they cannot capture the stochastic character of neural dynamics. On this basis, we provide some suggestions that may be useful in building computational models of pain with a wider range of applications.
authors.affiliation: Laboratorio "C" at Universidad Simón Bolívar, Caracas, Venezuela. earguello@usb.ve.
authors.forename: Erick J
authors.initials: EJ
authors.lastname: Argüello
authors.affiliation: Secretaría de Educación Superior, Ciencia, Tecnología e Innovación (SENESCYT), Guayaquil, Ecuador. rjsilvab@gmail.com.|Programa Promeinfo, Universidad de Guayaquil, Guayaquil, Ecuador. rjsilvab@gmail.com.
authors.forename: Ricardo J
authors.initials: RJ
authors.lastname: Silva
authors.affiliation: Secretaría de Educación Superior, Ciencia, Tecnología e Innovación (SENESCYT), Guayaquil, Ecuador. mhuerta@ieee.org.|Universidad Politécnica Salesiana (UPS), Cuenca, Ecuador. mhuerta@ieee.org.|Grupo de Redes y Telemática Aplicada at Universidad Simón Bolívar, Caracas, Venezuela. mhuerta@ieee.org.
authors.forename: Mónica K
authors.initials: MK
authors.lastname: Huerta
authors.affiliation: Universidad Politécnica Salesiana (UPS), Cuenca, Ecuador. ravila@ups.edu.ec.
authors.forename: René S
authors.initials: RS
authors.lastname: Avila
mesh_terms: D003198:Computer Simulation; D006801:Humans; D008954:Models, Biological; D010146:Pain; D013269:Stochastic Processes