Download
Paper Metrics
5
Reads
1
Downloads
Citations:
0
Source: crossref.org
Article Timeline
Published online:
21 Jul 2025
Accepted:
17 Jul 2025
Received:
4 Jul 2025
Open Access
Original Research
A physical model of neuronal membrane excitations as a mechanism of holographic image formation in brain
Marco Cavaglia and Jack Tuszynski
Abstract
This paper introduces a computational model that underlies an electromagnetic theory of inter-neuronal interactions in the human brain. This hypothesis behind this model aims to explain human perception, cognition, memory and consciousness and involves an interdisciplinary approach combining biophysics, holography, and neuroscience. The main assumption used is that the phospholipid head groups of neuronal membranes, when stimulated energetically by the electric fields of propagating action potentials, can generate a metastable coherent state giving rise to an electromagnetic field. This is consistent with the Froehlich theory of biological coherence. Additionally, the electromagnetic fields produced by neighboring neurons can create interference patterns that lead to the formation of holographic images. This mechanism can solve the binding problem of consciousness where external sensory inputs are transduced into conscious perceptions.
Keyword: Bioinformatics, brain complexity, neurodegeneration, integrative multi-omics approaches, neurodevelopmental
How to Cite this Article: Marco Cavaglia and Jack Tuszynski (2025). A physical model of neuronal membrane excitations as a mechanism of holographic image formation in brain. Journal of Multiscale Neuroscience, 4(3):187-195 DOI: https://doi.org/10.56280/1704135468
Authors Affiliation:
Marco Cavaglia DIMEAS, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino I-10129, Italy
Jack Tuszynski DIMEAS, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino I-10129, Italy
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 Press 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.
.png)