There is a new research paper published (preprint only) by the Resonance Science Foundation Research Team. In this publication a key characteristic that distinguishes a living system from abiotic matter is discussed, and is identified as the primary criterion by which any arrangement of space-matter-energy can be unambiguously defined as alive. In addition to elucidating the nature of living systems, and what it means for an organization of matter and energy to be alive, the criterion serves as a methodology to unambiguously and positively identify a system as (1) alive, and (2) as conscious. In regards to the latter (2), the methodology outlined in the study is a significant advancement  over the Turing test, which does not distinguish a programmed automaton from a system with true stand-alone volition and consciousness, and hence is a substandard method to identify a system as conscious.

By: William Brown, scientist at the Resonance Science Foundation

What is life?...

By: William Brown, scientist at the Resonance Science Foundation

The brain is a fractal massively parallel processor generating complex spatiotemporal electromagnetic field patterns that correlate with cognition and perception. A key property of a fractal system is scale-free complexity, which means that the degree of complexity of the system is invariant under scaling— for example, using a power-law quantification, it can be shown that the degree of complexity within the human brain is approximately invariant from the tissue, to the cellular, to the molecular levels. The electrical field potentials and magnetic resonance responses of the brain all exhibit scale-free dynamics [1], and these scale-invariant brain dynamics contain complex spatiotemporal structures that are modulated by task performance. Previous studies have shown that scale-free temporal correlations connect the vibrational modes of single neurons to the fractal-antenna-like biopolymers (dielectric...

Experiments directly on tunneling ionization dynamics have discovered that electrons will behave differently when quantum tunneling from a molecule depending on the molecule's chirality (chirality refers to the “handedness” of non-superimposable stereoisomers of a molecule, the same way a left hand cannot be superimposed over a right hand, even though they are mirror images of each other). The projection of electron spin onto its momentum direction, called spin-orbit coupling, strongly affects the tunneling probability between chiral molecules of the biological system. This phenomenon of electron conduction being enhanced by an electron’s spin orientation is known as chiral-induced spin selectivity (CISS). Previous studies had shown that the helical geometry found in many biomolecules, like DNA and alpha helices of proteins, induces robust spin filtering accompanied by, and intimately related to, strongly enhanced transmission, and now new research investigating...

By: William Brown, scientist at the Resonance Science Foundation

This report has been published as a science article review and can be accessed freely at the online journal Qeios- Click here to access the article

In the book Rhythmic Oscillations in Proteins to Human Cognition [1], a compendium of avant-garde researchers takes a fresh look at the mechanics of nature to emphasize the importance of cyclical, harmonic interrelationships of oscillatory phenomena, especially in biophysics and biochemistry. The book is part of a larger series of publications set to explore and document fundamental research carried out globally from astrophysics to particle physics, from stock market to economic theories, and from plant biology to consciousness. The editors Anirban Bandyopadhyay, a senior Scientist at the National Institute for Materials Science (NIMS) in Tsukuba, Japan— whose patents include a time crystal model for building an artificial human brain [2]— and Kanad Ray,...

By: William Brown, Biophysicist at the Resonance Science Foundation

Mitochondria are most well known as the energy producing organelles of the cell, producing chemical energy via ATP production in all Eukaryotic species. However, mitochondria have a much broader role than simple centers of energy production in the cell and play critical roles in a range of processes from controlling cell fate via programmed cell death (called apoptosis)—central to tissue morphogenesis and anti-tumorigenic regulation— to regulating gene expression (via modulating metabolite concentrations like cyclic AMP), to name but a few of the multitudinous cellular processes involving this dynamic organelle.

Because of the ancestral nature as an endosymbiont, mitochondria are extremely active within cells and are even described as exhibiting social behaviors [1]—indicating high levels of complex information processing with intercommunication and coordination of activity [2]— so much...

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

The Universe Organizes in a Galactic Neuromorphic Network
The Quantitative Comparison Between the Neuronal Network and the Cosmic Web 

A key observation in the science of a unified physics of reality is that the universe appears to follow a self-organizational patterning utilizing properties of holography and fractals. These two features of organizational structure in the universe are so ubiquitous that us researchers at the Resonance Science Foundation often refer to “holofractogramic physics” to simultaneously describe an organizational system that is both holographic and fractal in nature. This refers to two properties of universal organization that seem to be primary: holographic ordering of information—in which any subunit of a system contains information about the whole— and fractal ordering of structure. 

 What does “fractal ordering of...

^{By Dr. Inés Urdaneta / Physicist at Resonance Science Foundation}

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 feat...

^{By Dr. Inés Urdaneta / Physicist at Resonance Science Foundation}

Image: Evan Leeson/Bob Peterson/lowjumpingfrog. None of these animals contain a single trace of blue pigment.

Colors in nature come mainly from three sources: pigments, structural colors, and bioluminescence.

Have you noticed that some colors are more intense than others in nature?
Such is the case of blue and green colors, compared to reds and the rest. The main reason is that blue and green can be structural colors, while the remaining colors seem to not be part of the team.

Structural coloring is the result of microscopically fine structured surfaces that interfere with visible light, sometimes in combination with pigments. For example, peacock tail feathers are brown pigmented, but because of their microscopic structure, they also reflect blue, turquoise and green light. And they are often iridescent. Thus, structural coloring is a classic optical effect of interference and diffraction, rather than a quantum...

by William Brown, Resonance Science Research Scientist

A study published in the journal Science has upended 80 years of conventional wisdom in computational neuroscience that has modeled the neuron as a simple point-like node in a system, integrating signals and passing them along. This neuron-as-integrator model, also known as the “dumb” neuron model, has severely restricted the conception of what a neuron is capable of doing, and hence how neuronal networks and the brain as a whole functions.

This has not only impeded the development of a complete understanding of neuronal activity in the higher brain regions of the cortex, but it has also adversely affected computer science, significantly limiting the development of neuromorphic computational networks because they have been based on an incomplete model. Empirical investigations are now suggesting that scientists re-evaluate neuronal information processing as a much more complex system—one that may not have...

by William Brown, Resonance Science Foundation Biophysicist

Collective intercellular communication through ultra-fast hydrodynamic trigger waves:

Researchers studying one of the longest single cell organisms—Spirostomum ambiguum—which can grow up to lengths of 4mm (a unicellular organism observable to the naked eye) have discovered that it is also one of the fastest cells ever documented. The gargantuan protist can contract its long body by 60% within milliseconds, experiencing an acceleration force of up to 14g.

The contractile behavior protects the unicellular organism from would-be predators, as small vacuoles along the cellular membrane containing toxins are dispersed when undergoing the extreme g forces of the contraction. Remarkably, researchers have discovered that the contractions also generate long-ranged vortex flows that function as hydrodynamic signals to other Spirostomum.

This is the first time that hydrodynamic cellular signaling has been documented, and...