Quantum and Electromagnetic Fields in Our Universe and Brain: A New Perspective to Comprehend Brain Function

The concept of wholeness or oneness refers to not only humans, but also all of creation. Similarly, consciousness may not wholly exist inside the human brain. One consciousness could permeate the whole universe as limitless energy; thus, human consciousness can be regarded as limited or partial in character. According to the limited consciousness concept, humans perceive projected waves or wave-vortices as a waveless item. Therefore, human limited consciousness collapses the wave function or energy of particles; accordingly, we are only able to perceive them as particles. With this “limited concept”, the wave-vortex or wave movement comes into review, which also seems to have a limited concept, i.e., the limited projected wave concept. Notably, this wave-vortex seems to embrace photonic light, as well as electricity and anything in between them, which gives a sense of dimension to our brain. These elements of limited projected wave-vortex and limitless energy (consciousness) may coexist inside our brain as electric (directional pilot wave) and quantum (diffused oneness of waves) brainwaves, respectively, with both of them giving rise to one brain field. Abnormality in either the electrical or the quantum field or their fusion may lead to abnormal brain function.

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2. The human brain

Consciousness: A Very Short Introduction ◽

10.1093/actrade/9780198794738.003.0002 ◽

2017 ◽

pp. 17-33

Author(s):

Susan Blackmore

Keyword(s):

Body Image ◽

Motor Control ◽

Human Brain ◽

Brain Function ◽

The Self ◽

Central Processor ◽

Human Consciousness ◽

The Brain ◽

Vast Network ◽

Successful Science

‘The human brain’ considers the brain as a vast network of connections from which come our extraordinary abilities: perception, learning, memory, reasoning, language, and somehow or another—consciousness. Different areas deal with vision, hearing, speech, body image, motor control, and forward planning. They are all linked, but this is not done through one central processor, but by millions of criss-crossing connections. By contrast, human consciousness seems to be unified. A successful science of consciousness must therefore explain the contents of consciousness, the continuity of consciousness, and the self who is conscious. Research linking consciousness to brain function is discussed along with conditions such as synaesthesia, blindsight, stroke damage, and amnesia.

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Autoconnectivity: A new perspective on human brain function

Journal of Neuroscience Methods ◽

10.1016/j.jneumeth.2019.03.015 ◽

2019 ◽

Vol 323 ◽

pp. 68-76 ◽

Cited By ~ 3

Author(s):

Mohammad R. Arbabshirani ◽

Adrian Preda ◽

Jatin G. Vaidya ◽

Steven G. Potkin ◽

Godfrey Pearlson ◽

...

Keyword(s):

Human Brain ◽

Brain Function ◽

New Perspective

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Toward a neuroscope: An application of high-performance computing for real-time evaluation of brain function using MRI

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100172346 ◽

1994 ◽

Vol 52 ◽

pp. 922-923

Author(s):

C. S. Potter ◽

C. D. Gregory ◽

H. D. Morris ◽

Z.-P. Liang ◽

P. C. Lauterbur

Keyword(s):

Human Brain ◽

Brain Function ◽

High Performance ◽

Complex Signal ◽

Time Step ◽

Brain Organization ◽

Cognitive Studies ◽

Positron Emission ◽

Imaging And Spectroscopy ◽

3D Anatomy

Over the past few years, several laboratories have demonstrated that changes in local neuronal activity associated with human brain function can be detected by magnetic resonance imaging and spectroscopy. Using these methods, the effects of sensory and motor stimulation have been observed and cognitive studies have begun. These new methods promise to make possible even more rapid and extensive studies of brain organization and responses than those now in use, such as positron emission tomography.Human brain studies are enormously complex. Signal changes on the order of a few percent must be detected against the background of the complex 3D anatomy of the human brain. Today, most functional MR experiments are performed using several 2D slice images acquired at each time step or stimulation condition of the experimental protocol. It is generally believed that true 3D experiments must be performed for many cognitive experiments. To provide adequate resolution, this requires that data must be acquired faster and/or more efficiently to support 3D functional analysis.

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Frontier concept of rabi chip for intelligent humanoid

Journal of Analytical Chromatography and Spectroscopy ◽

10.24294/jacs.v1i2.908 ◽

2018 ◽

Vol 1 (2) ◽

Author(s):

Preecha Yupapin ◽

Amiri I. S. ◽

Ali J. ◽

Ponsuwancharoen N. ◽

Youplao P.

Keyword(s):

Human Brain ◽

Brain Function ◽

Rabi Oscillation ◽

Liquid Core ◽

Brain Surface ◽

Dipole Oscillation ◽

On Chip ◽

The Brain ◽

Robotic Applications ◽

Atom System

The sequence of the human brain can be configured by the originated strongly coupling fields to a pair of the ionic substances(bio-cells) within the microtubules. From which the dipole oscillation begins and transports by the strong trapped force, which is known as a tweezer. The tweezers are the trapped polaritons, which are the electrical charges with information. They will be collected on the brain surface and transport via the liquid core guide wave, which is the mixture of blood content and water. The oscillation frequency is called the Rabi frequency, is formed by the two-level atom system. Our aim will manipulate the Rabi oscillation by an on-chip device, where the quantum outputs may help to form the realistic human brain function for humanoid robotic applications.

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Integration of fMRI, NIROT and ERP for studies of human brain function

Magnetic Resonance Imaging ◽

10.1016/j.mri.2005.12.039 ◽

2006 ◽

Vol 24 (4) ◽

pp. 507-513 ◽

Cited By ~ 12

Author(s):

John C. Gore ◽

Silvina G. Horovitz ◽

Christopher J. Cannistraci ◽

Pavel Skudlarski

Keyword(s):

Human Brain ◽

Brain Function

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P.304 Associations between disease course and abnormal brain function during emotion processing in major depressive disorder

European Neuropsychopharmacology ◽

10.1016/j.euroneuro.2021.01.065 ◽

2021 ◽

Vol 44 ◽

pp. S41-S42

Author(s):

H. Lemke ◽

L. Waltemate ◽

K. Thiel ◽

A. Winter ◽

S. Meinert ◽

...

Keyword(s):

Major Depressive Disorder ◽

Depressive Disorder ◽

Brain Function ◽

Emotion Processing ◽

Disease Course ◽

Major Depressive ◽

Abnormal Brain

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The brain timewise: how timing shapes and supports brain function

Philosophical Transactions of the Royal Society B Biological Sciences ◽

10.1098/rstb.2014.0170 ◽

2015 ◽

Vol 370 (1668) ◽

pp. 20140170 ◽

Cited By ~ 39

Author(s):

Riitta Hari ◽

Lauri Parkkonen

Keyword(s):

Human Brain ◽

Brain Imaging ◽

Brain Function ◽

Temporal Dynamics ◽

Generative Models ◽

Network Activity ◽

Brain Diseases ◽

Specific Information ◽

Non Invasive ◽

The Brain

We discuss the importance of timing in brain function: how temporal dynamics of the world has left its traces in the brain during evolution and how we can monitor the dynamics of the human brain with non-invasive measurements. Accurate timing is important for the interplay of neurons, neuronal circuitries, brain areas and human individuals. In the human brain, multiple temporal integration windows are hierarchically organized, with temporal scales ranging from microseconds to tens and hundreds of milliseconds for perceptual, motor and cognitive functions, and up to minutes, hours and even months for hormonal and mood changes. Accurate timing is impaired in several brain diseases. From the current repertoire of non-invasive brain imaging methods, only magnetoencephalography (MEG) and scalp electroencephalography (EEG) provide millisecond time-resolution; our focus in this paper is on MEG. Since the introduction of high-density whole-scalp MEG/EEG coverage in the 1990s, the instrumentation has not changed drastically; yet, novel data analyses are advancing the field rapidly by shifting the focus from the mere pinpointing of activity hotspots to seeking stimulus- or task-specific information and to characterizing functional networks. During the next decades, we can expect increased spatial resolution and accuracy of the time-resolved brain imaging and better understanding of brain function, especially its temporal constraints, with the development of novel instrumentation and finer-grained, physiologically inspired generative models of local and network activity. Merging both spatial and temporal information with increasing accuracy and carrying out recordings in naturalistic conditions, including social interaction, will bring much new information about human brain function.

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