Cargando…
Optimum Integration Procedure for Connectionist and Dynamic Field Equations
Connectionist and dynamic field models consist of a set of coupled first-order differential equations describing the evolution in time of different units. We compare three numerical methods for the integration of these equations: the Euler method, and two methods we have developed and present here:...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8193506/ https://www.ncbi.nlm.nih.gov/pubmed/34122034 http://dx.doi.org/10.3389/fnbot.2021.670895 |
_version_ | 1783706240888602624 |
---|---|
author | Rieznik, Andrés Di Tella, Rocco Schvartzman, Lara Babino, Andrés |
author_facet | Rieznik, Andrés Di Tella, Rocco Schvartzman, Lara Babino, Andrés |
author_sort | Rieznik, Andrés |
collection | PubMed |
description | Connectionist and dynamic field models consist of a set of coupled first-order differential equations describing the evolution in time of different units. We compare three numerical methods for the integration of these equations: the Euler method, and two methods we have developed and present here: a modified version of the fourth-order Runge Kutta method, and one semi-analytical method. We apply them to solve a well-known nonlinear connectionist model of retrieval in single-digit multiplication, and show that, in many regimes, the semi-analytical and modified Runge Kutta methods outperform the Euler method, in some regimes by more than three orders of magnitude. Given the outstanding difference in execution time of the methods, and that the EM is widely used, we conclude that the researchers in the field can greatly benefit from our analysis and developed methods. |
format | Online Article Text |
id | pubmed-8193506 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81935062021-06-12 Optimum Integration Procedure for Connectionist and Dynamic Field Equations Rieznik, Andrés Di Tella, Rocco Schvartzman, Lara Babino, Andrés Front Neurorobot Neuroscience Connectionist and dynamic field models consist of a set of coupled first-order differential equations describing the evolution in time of different units. We compare three numerical methods for the integration of these equations: the Euler method, and two methods we have developed and present here: a modified version of the fourth-order Runge Kutta method, and one semi-analytical method. We apply them to solve a well-known nonlinear connectionist model of retrieval in single-digit multiplication, and show that, in many regimes, the semi-analytical and modified Runge Kutta methods outperform the Euler method, in some regimes by more than three orders of magnitude. Given the outstanding difference in execution time of the methods, and that the EM is widely used, we conclude that the researchers in the field can greatly benefit from our analysis and developed methods. Frontiers Media S.A. 2021-05-28 /pmc/articles/PMC8193506/ /pubmed/34122034 http://dx.doi.org/10.3389/fnbot.2021.670895 Text en Copyright © 2021 Rieznik, Di Tella, Schvartzman and Babino. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Rieznik, Andrés Di Tella, Rocco Schvartzman, Lara Babino, Andrés Optimum Integration Procedure for Connectionist and Dynamic Field Equations |
title | Optimum Integration Procedure for Connectionist and Dynamic Field Equations |
title_full | Optimum Integration Procedure for Connectionist and Dynamic Field Equations |
title_fullStr | Optimum Integration Procedure for Connectionist and Dynamic Field Equations |
title_full_unstemmed | Optimum Integration Procedure for Connectionist and Dynamic Field Equations |
title_short | Optimum Integration Procedure for Connectionist and Dynamic Field Equations |
title_sort | optimum integration procedure for connectionist and dynamic field equations |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8193506/ https://www.ncbi.nlm.nih.gov/pubmed/34122034 http://dx.doi.org/10.3389/fnbot.2021.670895 |
work_keys_str_mv | AT rieznikandres optimumintegrationprocedureforconnectionistanddynamicfieldequations AT ditellarocco optimumintegrationprocedureforconnectionistanddynamicfieldequations AT schvartzmanlara optimumintegrationprocedureforconnectionistanddynamicfieldequations AT babinoandres optimumintegrationprocedureforconnectionistanddynamicfieldequations |