Corrigendum: The Energy Homeostasis Principle: Neuronal Energy Regulation Drives Local Network Dynamics Generating Behavior (Frontiers in Computational Neuroscience, (2019), 13, (49), 10.3389/fncom.2019.00049)

Rodrigo C. Vergara, Sebastián Jaramillo-Riveri, Alejandro Luarte, Cristóbal Moënne-Loccoz, Rómulo Fuentes, Andrés Couve, Pedro E. Maldonado*

*Corresponding author for this work

Research output: Contribution to journalComment/debate

Abstract

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: (Formula presented.). 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 fromY 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.

Original languageEnglish
Article number599670
JournalFrontiers in Computational Neuroscience
Volume14
DOIs
StatePublished - 29 Oct 2020
Externally publishedYes

Bibliographical note

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

Keywords

  • behavior
  • emergent properties
  • energy
  • homeostasis
  • neuronal networks

Fingerprint

Dive into the research topics of 'Corrigendum: The Energy Homeostasis Principle: Neuronal Energy Regulation Drives Local Network Dynamics Generating Behavior (Frontiers in Computational Neuroscience, (2019), 13, (49), 10.3389/fncom.2019.00049)'. Together they form a unique fingerprint.

Cite this