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CORRECTION article

Front. Comput. Neurosci., 29 October 2020
Volume 14 - 2020 | https://doi.org/10.3389/fncom.2020.599670

Corrigendum: The Energy Homeostasis Principle: Neuronal Energy Regulation Drives Local Network Dynamics Generating Behavior

This article is a correction to:

  1. The Energy Homeostasis Principle: Neuronal Energy Regulation Drives Local Network Dynamics Generating Behavior

    1. Read original article
\nRodrigo C. VergaraRodrigo C. Vergara1Sebastin Jaramillo-RiveriSebastián Jaramillo-Riveri2Alejandro LuarteAlejandro Luarte3Cristbal Moënne-Loccoz,Cristóbal Moënne-Loccoz4,5Rmulo FuentesRómulo Fuentes4Andrs CouveAndrés Couve3Pedro E. Maldonado Pedro E. Maldonado1*
  • 1Neurosystems Laboratory, Faculty of Medicine, Biomedical Neuroscience Institute, Universidad de Chile, Santiago, Chile
  • 2School of Biological Sciences, Institute of Cell Biology, University of Edinburgh, Edinburgh, United Kingdom
  • 3Cellular and Molecular Neurobiology Laboratory, Faculty of Medicine, Biomedical Neuroscience Institute, Universidad de Chile, Santiago, Chile
  • 4Motor Control Laboratory, Faculty of Medicine, Biomedical Neuroscience Institute, Universidad de Chile, Santiago, Chile
  • 5Department of Health Sciences, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile

A Corrigendum on
The Energy Homeostasis Principle: Neuronal Energy Regulation Drives Local Network Dynamics Generating Behavior

by Vergara, R. C., Jaramillo-Riveri, S., Luarte, A., Moënne-Loccoz, C., Fuentes, R., Couve, A., et al. (2019). Front. Comput. Neurosci. 13:49. doi: 10.3389/fncom.2019.00049

Unfortunately, the first equation in our published article was missing the terms dividing the difference in Gibbs Free Energy (Equation 1). We deemed relevant to correct the equation to prevent any potential misunderstanding, and apologize for any inconvenience it may have caused.

In particular, the first equation should have been written as follow:

rate(X→Y)rate(Y→X)=e-G(Y)-G(X)RT    (1)

where R is Gas constant, and T the absolute temperature (Cannon and Baker, 2017). This equation describes the relation between the mean rates of any pair of reversible processes (from X to Y, and from Y to X) and the difference in Gibbs Free Energy between the states. Note that by definition the Gibbs Free Energy assumes Temperature to be constant.

The subsequent arguments presented in our article remain unaffected by this correction, as by talking about Gibbs Free Energy we were already assuming Temperature to be constant.

The authors apologize for this error and state that this does not change the analyzed variables or scientific conclusions of the article in any way.

References

Cannon, W. R., and Baker, S. E. (2017). Non-steady state mass action dynamics without rate constants: dynamics of coupled reactions using chemical potentials. Phys. Biol. 14:055003. doi: 10.1088/1478-3975/aa7d80

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Keywords: homeostasis, energy, neuronal networks, behavior, emergent properties

Citation: Vergara RC, Jaramillo-Riveri S, Luarte A, Moënne-Loccoz C, Fuentes R, Couve A and Maldonado PE (2020) Corrigendum: The Energy Homeostasis Principle: Neuronal Energy Regulation Drives Local Network Dynamics Generating Behavior. Front. Comput. Neurosci. 14:599670. doi: 10.3389/fncom.2020.599670

Received: 27 August 2020; Accepted: 11 September 2020;
Published: 29 October 2020.

Edited and reviewed by: Mario Senden, Maastricht University, Netherlands

Copyright © 2020 Vergara, Jaramillo-Riveri, Luarte, Moënne-Loccoz, Fuentes, Couve and Maldonado. 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.

*Correspondence: Pedro E. Maldonado, pedro@uchile.cl

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.