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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:...

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Autores principales: Rieznik, Andrés, Di Tella, Rocco, Schvartzman, Lara, Babino, Andrés
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
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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.
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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
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