Abstract

According to the Interdisciplinary Ontology called "Triple Aspect Monism" (TAM), consciousness has three necessary - and conjointly sufficient - aspects: Matter, Information and Sentience. All three equally derive from a 'neutral' basis - one that is neither physical nor mental - called Energy. Matter is particle-condensed Energy; Information is the differential distribution of Energy in Space, and Sentience (defined as "the capacity of feeling") is a special type of distribution of Energy in Time. Although the three aspects are potentially present in Energy, their conjunction, generating conscious experiences, occurs only - as far as we know - in living systems. In these systems, the three aspects are integrated during the evolutionary process; they develop the “first-person perspective” proper to each singular conscious being, arising from a self-organization process (the "endogenous feedback”), which, in humans, allows the emergence of self-referential meaningful language. While Matter and Information are well treated by natural and computational sciences, the understanding of Sentience, with its special temporal waveforms, poses challenges, for which a new science - called Sentiomics was formulated. Two compatible explanations are provided here, for the emergence of Sentience: 1) As a Fibonacci-like pattern of amplitude modulation of multi-ionic waves in time, and 2) As a quantum geometric constraint operating in dynamic organic systems and projecting conscious contents. 

Keywords: Ontology, consciousness, multiscale neuroscience, monism, Energy, Information, Sentience 

How to Cite this Article: Alfredo Pereira Júnior (2025). The interdisciplinary ontology of consciousness in multiscale neuroscience. Journal of Multiscale Neuroscience 4(4): 276-293. DOI: https://doi.org/10.56280/1724443904 

Authors Affiliation: 

Alfredo Pereira Júnior, State University of São Paulo Júlio Mesquita Filho (UNESP/Botucatu) Botucatu, SP - Brazil. 

Conflict of Interest: The authors declare no conflict of interest Copyright: © 2025 The Author(s). Published by Neural Press. This is an open access article distributed under the terms and conditions of the CC BY-NC-ND 4.0 license. 

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, Neural Pres or the editors, and the reviewers. Any product that may be evaluated in this article, or claim that made by its manufacturer, is not guaranteed or endorsed by the publisher.