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Published on 10 May 2024
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Li,Z. (2024). Quantum physics: A better model to understand consciousness-related brain functions. Theoretical and Natural Science,34,269-272.
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Quantum physics: A better model to understand consciousness-related brain functions

Ziyu Li *,1,
  • 1 St Stephen's Episcopal School

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-8818/34/20241123

Abstract

With the development of quantum mechanics, it is applied to different fields, including biology. As intricate as human brains, quantum physics is replacing classical physics in explaining consciousness-related brain functions. The bilayer phospholipid membrane enables neurons in the brain to store and protect quantum information, and the abundance of 1/2-spin phosphorous creates potential for quantum entanglement that allows information to transfer along long distances and process consciousness. Scientists have used Schrödinger's cat thought experiment to explain how the uncertain and superimposed states in quantum physics can be applied to our decision-making behavior with conditions of "Yes" or "No." Scientists also conducted experiments to witness the quantum entanglement of particles in the brain. The observation of the phenomenon broke the pre-assumption that quantum entanglement is too fragile to occur in the chaotic environment in human brains, and it allows the possibility of ongoing conscious processing there. To further understand the decision-making mechanism, physicists should also integrate the knowledge in neuroscience, psychology, sociology, and other interdisciplinary subjects.

Keywords

Quantum physics, brain, decision making

[1]. Schwartz JM, Stapp HP, Beauregard M. Quantum physics in neuroscience and psychology: a neurophysical model of mind-brain interaction. Philos Trans R Soc Lond B Biol Sci. 2005 Jun 29;360(1458):1309-27. doi: 10.1098/rstb.2004.1598. PMID: 16147524; PMCID: PMC1569494.

[2]. Smolin, L. (2020). Natural and bionic neuronal membranes: possible sites for quantum biology. arXiv preprint arXiv:2001.08522.

[3]. Researchers use quantum biology to understand human response to Earth’s magnetic field. Johns Hopkins University Applied Physics Laboratory. (n.d.). https://www.jhuapl.edu/news/news-releases/230313-using-quantum-mechanics-to-understand-biology

[4]. Khrennikov, A. (2023). Open Systems, Quantum Probability, and Logic for Quantum-like Modeling in Biology, Cognition, and Decision-Making. Entropy, 25(6), 886.

[5]. Yukalov VI, Sornette D. Quantum probability and quantum decision-making. Philos Trans A Math Phys Eng Sci. 2016 Jan 13;374(2058):20150100. doi: 10.1098/rsta.2015.0100. PMID: 26621989.

[6]. Koch, C., Hepp, K. Quantum mechanics in the brain. Nature 440, 611 (2006). https://doi.org/10.1038/440611a

[7]. Christian Matthias Kerskens and David López Pérez 2022 J. Phys. Commun. 6 105001

[8]. Li N, Lu D, Yang L, Tao H, Xu Y, Wang C, Fu L, Liu H, Chummum Y, Zhang S. Nuclear Spin Attenuates the Anesthetic Potency of Xenon Isotopes in Mice: Implications for the Mechanisms of Anesthesia and Consciousness. Anesthesiology. 2018 Aug;129(2):271-277. doi: 10.1097/ALN.0000000000002226. PMID: 29642079.

[9]. Saberi Moghadam S, Samsami Khodadad F, Khazaeinezhad V. An Algorithmic Model of Decision Making in the Human Brain. Basic Clin Neurosci. 2019 Sep-Oct;10(5):443-449. doi: 10.32598/bcn.9.10.395. Epub 2019 Sep 1. PMID: 32284833; PMCID: PMC7149951.

[10]. Rausch, A., & Marketing. (2023, November 2). Ava Rausch. Care Counseling : Minneapolis Therapists. https://care-clinics.com/the-psychology-of-decision-making/

Cite this article

Li,Z. (2024). Quantum physics: A better model to understand consciousness-related brain functions. Theoretical and Natural Science,34,269-272.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 3rd International Conference on Computing Innovation and Applied Physics

Conference website: https://www.confciap.org/
ISBN:978-1-83558-369-2(Print) / 978-1-83558-370-8(Online)
Conference date: 27 January 2024
Editor:Yazeed Ghadi
Series: Theoretical and Natural Science
Volume number: Vol.34
ISSN:2753-8818(Print) / 2753-8826(Online)

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