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Is the Physical World a Neural Network?

By Dr. Inés Urdaneta. Resonance Science Foundation Research Scientist

In a former RSF article entitled Between the Generalized Holographic approach and Data Science, we addressed the potential of trained artificial neural networks to replace our scientific models, and the possibility of reality being a numerical simulation was discussed. Somehow we had anticipated this next and very recent work from Vitaly Vanchurin, from the University of Minnesota Duluth, proposing that we live in a neural network. It is an audacious idea!


In our prior article we had anticipated the impact of artificial neural networks and deep machine learning … what we had not foreseen was that they would be used literally as the framework for the theory of everything! There is a saying: "better be a historian, than a prophet", meaning that a historian writes about past events, and so taking small risk, while a prophet takes a huge risk with his predictions. Though, we should not brag about this...

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The Importance of Mindfulness

by William Brown, Resonance Science Foundation Biophysicist
Studies suggest that mindfulness practices may help people manage stress, cope better with serious illness and reduce anxiety and depression. Many people who practice mindfulness report an increased ability to relax, a greater enthusiasm for life and improved self-esteem.

Meditation, or mindfulness practices, have become a well-accepted way within conventional medicine to maintain mental and physical health. In a medical establishment that generally relies on drugs to combat health problems new insights into the physical and mental health benefits of mindfulness have now been gleamed from many scientific studies.

Studies funded by the National Institute of Health (NIH) in the United States have found links between mindfulness meditation and measurable changes in the brain regions involved in memory, learning and emotion, as well that mindfulness practices may reduce anxiety and hostility among urban youth and lead to...

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Inner Clocks and Future Prediction

Article by Dr. Johanna Deinert, Resonance Science Foundation Research Scientist

Researchers from University of California – Berkeley found two clocks in our brains with different functions. The paper authored by Assaf Breska and Richard B. Ivry from the Departement of Psychology was published lately in PNAS. There are different locations in the reptilian parts of our brain (the brainstem) where we process present and anticipative time. As well as our sense of orientation in space of the body, our orientation in time is processed by the cerebellum. The anticipatory part is processed in the basal ganglia, meaning the most advanced system of the reptilian brain and the connection to the higher operative systems of the grey matter. One of these basal ganglia is the Thalamus, referred to as “the gate to consciousness” by medical textbooks. It is as well the generator of the brainwave frequencies, hence our conscious activity...

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Waterconference 2018

By Johanna Deinert, Resonance Science Foundation Research Scientist

Chairman Dr. Gerald Pollack from University of Washington, Seattle, opened the lectures by presenting Nobel Laureate Prof. Luc Montagnier. Co-founder of the World Foundation for Medical Research and Prevention. He introduced a highly sensitive method for detecting infections like Lyme, when usual Lab tests like serology and classical PCR (Polymerase chain reaction) fail. QuanticPCR uses the unique properties of water to store or even amplify specific pathogen-derived frequencies and is proving experimental evidence for the homeopathic principle of diluting without dilution of the contained information. The mechanism how PCR exactly works is commonly known to be not well understood. Giuseppe Vitiello presented a way to describe the bio-chemical reaction and its basics in physical terms.

We have recently posted news about the vaporization of water droplets and their unique shapes. In these kinds of...

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Mapping Magnetite in the Human Brain

Article by William Brown, Resonance Science Foundation Research Biophysicist

That the human brain contains magnetite is well established; however, its spatial distribution in the brain has remained unknown. A new study shows that the reproducible magnetization patterns of magnetite is preferentially partitioned in the human brain, specifically in the cerebellum and brain stem.

In 1992 researchers identified the presence of magnetite—a permanently magnetic form of iron oxide—in human brain tissue. Iron in the body was no surprise. It is commonly found in ferritin, an intracellular protein common to several organisms, and the magnetite was thought to have formed biogenically, with some possibly originating in ferritin. But the presence of magnetite in the brain could be more than incidental. Various studies have shown that brain cells respond to external magnetic fields. There’s also a disturbing link to neurodegenerative disease: Evidence exists of elevated levels...

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Panpsychism: Theories That Consciousness is Integral to Cosmos at the Most Fundamental Level Gaining Credibility

Article by William Brown, Resonance Science Foundation Research Scientist

Conventionally consciousness is explained as emerging from electrochemical computational activity of cells in complex neural networks. Prima facie, this is a logical theory as sensory inputs can be de-constructed into data / information—computations are what sorts and processes data—and thus the computational activity of the brain produces phenomenal experiences from sensory data. The only problem is that it is not at all clear how a series of computations can produce phenomenal experience, that aspect of consciousness that is the observer—the experiencer of sensations and mental qualia. Undoubtedly, neuromorphic computations can result in machine learning, and this is most likely an integral aspect of the process of synaptic remodeling (plasticity) that occurs in the brain as one learns.

However, the ability to process data input, execute a response, and optimize that response...

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A New Study Examines How Consciousness in the Universe is Scale Invariant and Implies an Event Horizon of the Human Brain

Article by William Brown, Biophysicist, Resonance Science Foundation Research Scientist

A paper recently published in the Journal of NeuroQuantology presents a unitary holofractogramic model that is redefining scientists’ view of the physics of consciousness and the seamless interplay of information dynamics from the most fundamental levels of the universe to the living system and the cosmos as a whole.

Major breakthroughs in the study of the physics of consciousness—and information dynamics in general—are occurring through the discovery and elucidation of holographic and fractal principles underlying fundamental properties of nature. For instance, in a fractal organization the degree of complexity of a system is scale-free, or invariant under any translation of magnitude. This means that one can “zoom in” or “zoom out” forever and the same degree of complexity will be observed—patterns of patterns reiterate ad...

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Quantum Experiment to Test if Human Consciousness is Beyond the Physical World

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Evidence for Higher State of Consciousness Found in New Research

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Brain is Far More Flexible Than Conventionally Thought

Study suggests balance between preserving memories and integrating new learning

By Greta Friar, Harvard Medical School Communications

The human brain has a region of cells responsible for linking sensory cues to actions and behaviors and cataloging the link as a memory. Cells that form these links have been deemed highly stable and fixed.

Now, the findings of a Harvard Medical School (HMS) study conducted in mice challenge that model, revealing that the neurons responsible for such tasks may be less stable, yet more flexible than previously believed.

The results, published Aug. 17 in the journal Cell, cast doubt on the traditional notion that memory formation involves hardwiring information into the brain in a fixed and highly stable pattern.

The researchers say their results point to a critical plasticity in neuronal networks that ensures easier integration of new information. Such plasticity allows neuronal networks to more easily incorporate new learning, eliminating the need...

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