Special Issue

Quantum Brain Dynamics

Submission Deadline: June 15, 2020 (Closed) Submit Now

Guest Editor

Raul Valverde, PhD PEng

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About This Topic

Quantum brain dynamics (QBD) is a group of hypothesis which explains the function of the brain within the framework of quantum field theory. It posits that quantum mechanical phenomena, such as quantum entanglement and superposition, may play an important part in the brain's function and could form the basis for an explanation of consciousness. Quantum brain dynamics is originated in the 1960s by the great theoretical physicist, Hiroomi Umezawa. Both quantum physics for sub-microscopic constituents of brain cells and tissues, and classical physics for the microscopic and macroscopic constituents, are simultaneously justified by this theory. It poses an alternative to the dominant conceptions in the neuro- and cognitive sciences, which take neurons organized into networks as the basic constituents of the brain. Certain physical substrates in the brain are shown to support quantum field phenomena, and the resulting strange quantum properties are used to explain consciousness and memory. The whole of memory is stored in such a state of macroscopic order and consciousness is realized by the creation and annihilation dynamics of energy quanta of the electromagnetic field and molecular fields of water and protein. In addition, many neural processes related to quantum states. In this special issue, we welcome any papers that show new view, conception, inventive and original approaches in quantum brain dynamics. Original research reports, review articles, communications, and perspectives are welcome in all areas pertinent to this topic. All accepted papers will be published free of charge.

Planned Papers

Title: Long term potentiation and memory in a quantum-like neuromorphic model
Author: Stephen Selesnick
Affiliation: University of Missouri, St. Louis
Abstract: In earlier work we developed a quantum-like neuromorphic network model that employs a mixture of physical and computational paradigms. This model can take into account non-synaptic modes of connection. Here we use it to derive a number of interesting properties of memory systems. We derive a computational version of the phenomenon of \emph{early long term potentiation} within the model, which mathematically supports the Hebbian hypothesis. Such computations `in memory' are of interest in the pursuit of artificial intelligence by means of neuromorphic hardware such as memristor-like circuits. We also investigate the retrieval mechanism inherent in the model and in light of it we briefly examine two other memory associated phenomena derivable within the model, namely pattern completion and Tsien's power-of-two wiring law

Title: Quantum theory of EEG with application to single trial ERP analysis
Authors: D. Melkonian and A. Harris.
Affiliation: Faculty of Medicine and Health, University of Sydney, Sydney, Australia

Title: Nonlinear dynamics and chaotic trajectories in brain-mind visual experiences
Authors: Tania Re ¹, Giuseppe Vitiello ²
Affiliation:
1. UNESCO Chair "Anthropology of Health. Biosphere and Healing System", University of Genoa, Genoa, Italy and Referring Center for Phytotherapy, Tuscany Region, Careggi University Hospital, Florence, Italy
2. Physics Department "E.R. Caianiello", University of Salerno, 84084 Fisciano (Salerno), Italy
Abstract: We discuss brain visual experiences made in conditions of low degree of openness of brain on the environment, for example during dreaming, or in meditation, or under the effects of psychoactive substances, in coma states, or other reduced sensory perception states, etc. For brevity we refer to them as to brain-mind visual experiences, meaning that such a visual activity is not the one connected to the actual seeing as in the awake state. In the dissipative quantum model of brain, the criticality of the dynamics is enhanced in brain low openness states and it is at origin of movie-like sequences of images in visual experiences. These sequences and abrupt shifts from one image pattern to another are described by chaotic trajectories through the memory space. Truthfulness and realism felt in visual experiences are discussed in terms of the algebra of the doubling of the degrees of freedom in the dissipative model. In our discussion we consider few aspects of visual experiences made by a subject during an Amazonian Ayahuasca ceremony.

Title: Environmental signal-feedback mechanisms shaping neuronal somatic cell nuclear recombination via state reduction of nucleoprotein superpositions
Authors: William Brown ¹, Nassim Haramein ² and Olivier Alirol ²
Affiliation: 1 Molecular Biologist, 2 Physicists, Resonance Science Foundation and Torus Tech LLC., California, USA

Title: Quantum Theory of EEG with Application to the Single-trial ERP Analysis
Author: Dmitriy Melkonian
Abstract: Probabilistic formalism of quantum mechanics is used to quantitatively link the electroencephalogram (EEG) with the underlying microscale activity of cortical neurons. Previous approaches implemented methods of classic physics to reconstruct the EEG in terms of explicit physical models of cortical neurons and the volume conductor. However, the multiplicity of cellular processes with extremely intricate mixtures of deterministic and random factors prevented creation of consistent biophysical parameter sets. To avoid uncertainty surrounding physical attributes of the neuronal ensembles, we undertake here a radical departure from deterministic equations of classical physics to the probabilistic reasoning of quantum mechanics. Crucial step includes the relocation of the elementary bioelectric sources from the cellular to molecular level. Using novel method of the time-frequency analysis with adaptive segmentation for digital processing of empirical EEG and single trial event related potentials (ERPs), we found universal “building blocks” of these cortical processes both in the frequency and time domains. This result is qualified as a phenomenon known in statistical physics and quantum mechanics as universality. The rationale is that despite dramatic differences in the cellular machineries, the probabilistic factors governed by the central limit theorem produce the ECG waveform as a statistical aggregate of the synchronized activities of large ensembles of closely located cortical neurons. Using these theoretical and empirical findings, the probabilistic laws governing the microscale machinery underlying the EEG genesis are deduced.

Manuscript Submission Information

Manuscripts should be submitted through the LIDSEN Submission System. Detailed information on manuscript preparation and submission is available in the Instructions for Authors. All submitted articles will be thoroughly refereed through a single-blind peer-review process and will be processed following the Editorial Process and Quality Control policy. Upon acceptance, the article will be immediately published in a regular issue of the journal and will be listed together on the special issue website, with a label that the article belongs to the Special Issue. LIDSEN distributes articles under the Creative Commons Attribution (CC BY 4.0) License in an open-access model. The authors own the copyright to the article, and the article can be free to access, distribute, and reuse provided that the original work is correctly cited.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). Research articles and review articles are highly invited. Authors are encouraged to send the tentative title and abstract of the planned paper to the Editorial Office (neurobiology@lidsen.com) for record. If you have any questions, please do not hesitate to contact the Editorial Office.

Welcome your submission!

Publication

Open Access Review Why the Quantum Brain? by Sergey B. Yurchenko Received: 25 May 2021;  Published: 14 July 2021;  doi: 10.21926/obm.neurobiol.2103103 Abstract This article reviews the modern approaches to the quantum brain hypothesis. The aim is to consider the hypothesis and its classical brain-machine alternative from a broad perspective, including physics, biology, computer science, cosmology, and metaphysics. My starting point is that asking whether conscious [...]

Open Access Original Research Quantum Theory of EEG with Application to the Single-Trial ERP Analysis by Dmitriy Melkonian Received: 17 July 2020;  Published: 27 January 2021;  doi: 10.21926/obm.neurobiol.2101084 Abstract The probabilistic formalism of quantum mechanics is used to quantitatively link the electroencephalogram (EEG) with the underlying microscale activity of cortical neurons. Previous approaches applied methods of classic physics to reconstruct the EEG

Open Access Research Article Transcriptome Signatures of Dysregulated Brain Dynamics Induce Entangled Network States. by Enrico Capobianco Received: 15 June 2020;  Published: 30 December 2020;  doi: 10.21926/obm.neurobiol.2004077 Abstract Marks of brain disorders may be visible through abnormal networks characterized by states with distinct signatures or connectivity patterns. Apart from neurodegenerations, drug abuse or eventually addiction may exert complex perturbative effects over human health, including damage to various organs and especially brain inflammation, volume [...]

Open Access Research Article Non-linear Dynamics and Chaotic Trajectories in Brain-Mind Visual Experiences during Dreams, Meditation, and Non-Ordinary Brain Activity States by Tania Re  and Giuseppe Vitiello Received: 30 April 2020;  Published: 11 June 2020;  doi: 10.21926/obm.neurobiol.2002061 Abstract The present report discusses brain visual experiences in conditions of low degree of openness of the brain toward the environment, for example, while dreaming, during meditation, or in non-ordinary brain activity states such as under the effects of psychoactive substances, in the state of coma, or in other states of reduced sensory perception [...]