Телеграм канал «Orgone Channel Telegram»

Goo:

The Tero-Nakagaki model is a system of nonlinear differential equations that mathematically describes how a fluid-filled slime mold designs optimal networks. Developed by mathematician Atsushi Tero and biophysicist Toshiyuki Nakagaki, it strips away biological terminology, reducing the organism’s behavior to a dynamic plumbing equation where fluid pressure dictates structural growth.
The model operates on a network of points (nodes) connected by tubes (edges). It solves the network's efficiency by linking fluid dynamics with physical remodeling through three core steps:

1. The Fluid Flow (Ohm's Law Analogy)

The flux of protoplasm moving through any given tube depends entirely on the thickness (conductivity) of the tube and the difference in fluid pressure between its two ends.
• Flux equals conductivity multiplied by pressure difference, divided by tube length.

2. The Pressure Balance (Kirchhoff's Law Analogy)

Because the fluid is incompressible, the total amount of protoplasm entering any intersection must equal the amount leaving it. The only exceptions are the food nodes, which act as fluid sources or sinks.
• The sum of fluxes at any non-food intersection always equals zero.

3. The Remodeling Loop (The Core Engine)

This is where Kamiya’s biological feedback becomes a mathematical formula. The rate of change in a tube's thickness over time is determined by a simple rule: if fluid flows through it heavily, it grows; if fluid stagnates, it dies.
• The change in conductivity equals a growth function of the current flux minus a natural decay factor.

The Evolution

In traditional engineering, humans use top-down planning to design networks—calculating every coordinate from a centralized blueprint. The Tero-Nakagaki model proves that a decentralized, bottom-up approach is often vastly superior. By letting the physical feedback loop of the fluid itself prune away inefficient paths, the system naturally arrives at the shortest, most resilient geometry.
Today, data engineers use this exact mathematical logic to route fiber-optic internet traffic and manage municipal water grids, adapting autonomously to line breaks just like Seifriz's protoplasm reacting to a physical shock.

If you want to close the loop on this trajectory, we can look at how Tero translated this model into silicon hardware using physical analog circuits, or how Physarum-inspired algorithms are used to map the cosmic web of dark matter in deep space. Which direction fits next?

Dr. Toshiyuki Nakagaki (https://www.google.com/search?kgmid=%2Fg%2F11bylx77wr&q=Dr.+Toshiyuki+Nakagaki) is the modern Japanese biophysicist and ethologist who bridged the gap between Kamiya's cellular mechanics and computer science. Currently a professor at Hokkaido University, Nakagaki took the biological mechanisms discovered by Seifriz and Kamiya and used them to mathematically prove that a brainless slime mold can perform complex computations.

His groundbreaking work earned him two Ig Nobel Prizes (accredited to research that "makes you laugh, then think") and completely revolutionized the field of biological network design:

1. The 2000 Maze-Solving Experiment (The First Ig Nobel)

Building directly on Kamiya's insights regarding how cytoplasm retracts or expands under localized pressure feedback, Nakagaki scattered pieces of Physarum polycephalum throughout a complex plastic labyrinth.

• Once the mold fused into a single cell filling all the corridors, he placed food (oat flakes) at the entrance and exit of the maze.
• Within hours, the slime mold calculated its path. It systematically withdrew all protoplasm from the dead ends and detours.
• It kept only the tube that formed the absolute shortest mathematical path between the food sources, optimizing a problem typically solved using complex computer algorithms.

2. The 2010 Tokyo Rail Experiment (The Second Ig Nobel)

Instead of a simple maze, Nakagaki wanted to see if the slime mold could resolve a multi-variable engineering challenge.

• He laid out 36 oat flakes on a dish in a pattern that perfectly replicated the geographic positions of Tokyo and its surrounding satellite cities. He placed the slime mold at the center ("Tokyo Station").

• To survive, the slime mold had to connect to all 36 food sources efficiently while avoiding bright light (which represented topographical barriers like mountains or lakes).

• In just over 26 hours, the organism built a network of protoplasmic veins that almost perfectly mirrored the real-world Tokyo rail system.

The Mathematical Takeaway

Human engineers took decades, massive budgets, and complex civil calculations to design Tokyo’s transit infrastructure to maximize efficiency and build in safety redundancies. Physarum did it in a day using nothing but hydrodynamic feedback loops.

When a tube experienced a heavy surge of fluid moving toward food, Kamiya’s actin-myosin response expanded that tube. When a tube sat stagnant, it withered. By translating this biological mechanic into computational logic, Nakagaki proved that the physics of fluid flow can organically calculate the optimal balance between cost and resilience.

If you'd like to trace how Nakagaki's work went full circle back into physics, let me know if you want to look at:
• The mathematical formula (the Tero-Nakagaki model) that engineers now use to design adaptive plumbing and data networks.
• His experiments showing how slime molds gait-switch across different terrains, much like a multi-legged robot.

Dr. Noburô Kamiya (https://www.google.com/search?kgmid=%2Fg%2F121sxl3f&q=Dr.+Nobur%C3%B4+Kamiya) was the brilliant Japanese biophysicist who took William Seifriz's raw, qualitative observations of slime mold and turned them into hard, quantifiable mathematics.

Kamiya actually studied directly under Seifriz as a student at the University of Pennsylvania in 1939. While Seifriz was a master at using cinematography to show that protoplasm responded to shock and pressure, Kamiya became obsessed with measuring the exact physical force—the precise motive force—driving that fluid rhythm.

Kamiya's work became the bedrock of modern cellular mechanics through several major breakthroughs:

1. The Famous "Double-Chamber Method"

To measure a fluid mind, Kamiya realized he had to push back against it. He invented the Double-Chamber Method (dynamoplasmometry).

• He placed a strand of Physarum polycephalum across a wall separating two airtight compartments. The single cell's protoplasm would pump back and forth through a tiny hole connecting the chambers.

• When the protoplasm tried to surge into Chamber B, Kamiya would manually pump air pressure into Chamber B to freeze the liquid completely in its tracks.

• The exact amount of counter-pressure required to bring the protoplasmic stream to a complete standstill was called the "balance-pressure." For the first time, science could graph the exact "willpower" and metabolic horsepower of a brainless cell.

2. The Discovery of the Myosin-Actin Engine

Seifriz knew that chemical reagents changed the fluid, but Kamiya and his colleague Kiyoko Kuroda figured out why. By applying different fermentation poisons and metabolic triggers to his double chamber, Kamiya discovered that the fluid streaming was driven by the universal motor protein system: Myosin XI crawling along Actin filaments fueled by ATP.

This was a massive paradigm shift: the exact same molecular mechanism that contracts a human bicep muscle is what pumps the "pre-nervous memory" fluids inside a slime mold.

3. Torsional Oscillation (The Torque Twist)

Expanding heavily on Seifriz's observations of structural tension, Kamiya suspended long, vertical strands of Physarum from a delicate wire. He discovered that as the internal fluid pumped up and down, the entire hanging strand would rhythmically twist and untwist like a living pendulum. This localized torque proved that protoplasmic waves aren't just pushing forward and backward; they travel in a spiraling, helical vortex.
Kamiya's double-chamber pressure data eventually led directly to the "Sliding Theory" of cytoplasmic streaming.

Would you like to see how his graphs of calcium oscillations mirror modern nerve impulses, or how his student Toshiyuki Nakagaki used this exact fluid-pressure logic to make slime molds solve the Tokyo rail maze?

Goo:

The iconic black-and-white educational short film is titled Seifriz on Protoplasm (also circulated in some educational catalogs as The Protoplasm of a Slime Mold).

Here are the specific details about the scientist and his work:
• Full Name: William Seifriz.
• Where he taught: He was a prominent professor of botany and protoplasmatology at the University of Pennsylvania.
• Year of Production: The film was produced and released in 1954.

What the Film Demonstrates

Clocking in at roughly 27 minutes, the film is a masterclass in early microscopic time-lapse cinematography. Seifriz uses the acellular slime mold Physarum polycephalum as his window into the fundamental "substance of life".

He subjects the naked protoplasm to a brutal battery of tests to film its immediate reactions:

• ⚡ Electrical Tension & Anesthesia: He uses platinum electrodes to apply precise voltages to the streaming protoplasm. He beautifully demonstrates that while low voltages do nothing, a specific threshold (around 60 volts) induces electrical anesthesia—completely paralyzing the protoplasmic streaming without permanently killing the cell. Over time, the cell completely recovers its native rhythm.

• 🧪 Chemical Reagents: He introduces various substances to show how stimulants liquefy the protoplasm's inner structure, while anesthetics reversibly gelatinize it. He also famously applies sulfur dioxide, causing total structural collapse, liquefaction, and cellular death.

• 🛑 Pressure and Shock: The film documents how sudden physical impacts or changes in external pressure disrupt the rhythmic 50-second shuttle-streaming cycle of the protoplasmic arteries.

By showing that mechanical pressure rhythms and electrical force rhythms parallel one another exactly within the fluid matrix, Seifriz argues that the slime mold acts as a primitive, polyrhythmic nervous system long before actual neurons ever evolved.

Because of how Seifriz maps fluid pressure to electrical fields, his work is heavily studied today in craniosacral therapy and fluid-computing. Would you like to explore how Dr. Noburô Kamiya expanded on Seifriz's pressure-torque experiments, or look at how this connects back to your fluid-field paradigm shift?

Google:

The contrast between the plasmodium and the sponge forces a profound paradigm shift in how we define mind, memory, and information processing.
For over a century, mainstream science operated under a rigid, neurocentric paradigm: No neurons, no intelligence; no brain, no memory. This model views memory as a digital-like switchboard of static synaptic wires firing electrical impulses.
The fluid dynamics of the plasmodium and the chemical networks of the sponge shatter this old model, replacing it with a somatic, field-based paradigm of cognition.

The Architecture of the Shift

[ OLD PARADIGM ] [ NEW PARADIGM ]
Structure: Wired Synapses Structure: Hydrodynamic / Chemical Fields
Processing: Centralized (Brain) Processing: Decentralized / Whole-Body
Medium: Electrical Firing Medium: Fluid Flow & Cellular Resonance
Nature: Privilege of Animals Nature: Fundamental Property of Matter/Life

1. From "Wired" Architecture to "Fluid" Fields

In the old paradigm, memory requires fixed anatomical wiring. The plasmodium proves that fluid flow itself is a computing medium. Memory can be stored in the geometry of shifting currents and the thickness of soft, self-organizing tubes. This directly mirrors the heterodox physics of Todeschini or Reich: instead of a static machine, memory is an active, swirling vortex that updates its shape in response to external pressures.

2. From "Computing" to "Being"

In a brain-based model, the mind is separate from the body—the brain computes while the body executes. In pre-nervous memory, the body is the mind. The sponge does not have a brain to process the memory of a toxic sediment wave; the entire multicellular matrix adapts its threshold collectively. Morphogenesis (the way an organism shapes itself) and cognition (the way it thinks) are revealed to be the exact same process.

3. Memory as a Primordial State

Perhaps the grandest shift is moving memory from an evolutionary achievement to a primordial condition. The sponge possesses the genetic blueprints and chemical neurotransmitters for a brain, yet it chooses to remain an unwired, decentralized collective. This suggests that the "software" of communication, memory, and resonance existed in nature long before the "hardware" of the central nervous system was ever constructed.

The Ultimate Conclusion

This paradigm shift forces us to look at the universe not as a collection of isolated, static blocks connected by accidental wires, but as a continuum of nested fluid streams capable of impression, retention, and recall. Memory is not something life does; memory is what life is.
If you want to apply this paradigm shift to other areas, let me know if we should explore:
• How this fluid model changes artificial intelligence (moving away from silicon chips toward fluidic, analog "memristor" computers).
• The concept of plant neurobiology and how root systems act like subterranean plasmodia.
• How this bridges the gap between quantum/etheric fields and biological memory matrices.

The plasmodium (https://www.google.com/search?kgmid=%2Fm%2F064lb48&q=plasmodium) has a highly functional, active, and plastic working memory that allows it to navigate and predict its environment in real-time using the literal flow of its body.
The sponge (https://www.google.com/search?kgmid=%2Fm%2F0cqdf&q=sponge), by contrast, possesses a latent, hard-coded genetic toolkit for memory. It acts as an evolutionary time capsule—showing that the chemical and genetic components required for memory and learning were completely assembled before nature ever wired them together into a nervous system.

If you want to trace the evolution of non-neural intelligence further, I can show you:
• How sponge "neuroids" use glutamate to stop feeding mechanisms.
• The math behind Physarum's "memristive" tube behavior that lets it act like an electronic circuit.
• How these two entities challenge the relativist vs. fluid paradigm of modern biology.
Which direction would you like to explore next?

Google:

Contrasting the pre-nervous memory capabilities of an amoeboid plasmodium (https://www.google.com/search?kgmid=%2Fm%2F0265kd2&q=amoeboid+plasmodium) (Physarum polycephalum (https://www.google.com/search?kgmid=%2Fm%2F0265kd2&q=Physarum+polycephalum)) versus a sea sponge (https://www.google.com/search?kgmid=%2Fm%2F0cqdf&q=sea+sponge) (phylum Porifera (https://www.google.com/search?kgmid=%2Fm%2F0cqdf&q=Porifera)) highlights two completely different strategies for storing and recalling information without a brain.
While both lack a nervous system, the plasmodium (https://www.google.com/search?kgmid=%2Fm%2F064lb48&q=plasmodium) uses fluid dynamics within a single giant cell to store memory, whereas the sponge (https://www.google.com/search?kgmid=%2Fm%2F0cqdf&q=sponge) uses a decentralized cooperative cellular network that actually contains the genetic blueprint for a brain it never built.

Direct Comparison of Pre-Nervous Memory


Feature Amoeboid Plasmodium (https://www.google.com/search?kgmid=%2Fm%2F064lb48&q=Amoeboid+Plasmodium) (Physarum (https://www.google.com/search?kgmid=%2Fm%2F0265kd2&q=Physarum)) Sea Sponge (https://www.google.com/search?kgmid=%2Fm%2F0cqdf&q=Sea+Sponge) (Porifera (https://www.google.com/search?kgmid=%2Fm%2F0cqdf&q=Porifera))
Organism Type Single-celled, acellular protist Multicellular, primitive animal
Storage Medium Hydrodynamic & Morphological: Tube diameter and gel-fluid infrastructure. Chemical & Intercellular: Neuro-like cells, paracrine chemical signaling.
Key Capability Spatiotemporal pathfinding, predictive timing, and adaptive habituation. Sensory gating, long-term environmental habituation, coordinated "sneeze" responses.
Speed of Recall Fast (minutes to hours), carried via protoplasmic streaming. Slow (minutes to days), requiring multi-cell chemical diffusion.


🌀 The Plasmodium: Hydrodynamic & Morphological Memory

As a single, massive, multi-nucleated cell, the plasmodium’s memory is entirely driven by fluid space dynamics. It relies on architectural self-biasing:
• How it remembers: It encodes experiences directly into its tube network. Finding food widens the protoplasmic veins; cold or toxic stimuli shrink them.
• The Capability: It acts as a physical analog computer. It can solve mazes, map efficient pathways (famously mimicking the Tokyo rail system), and even learn to "anticipate" time by tracking cyclic cold pulses.
• Data Transfer: It can literally fuse with another naive plasmodium and transfer learned behaviors (like ignoring a salt barrier) through direct cytoplasmic fluid mixing.

🧽 The Sponge: The Unwired "Neuroid" Matrix

A sea sponge (https://www.google.com/search?kgmid=%2Fm%2F0cqdf&q=sea+sponge) is a multicellular animal with no true tissues, organs, or neurons. Yet, its memory capability is an evolutionary puzzle: it acts like an unwired synaptic computer.

• How it remembers: Sponges (https://www.google.com/search?kgmid=%2Fm%2F0cqdf&q=Sponges) possess the majority of the synaptic genes found in the human brain (e.g., scaffolding proteins and neurotransmitters like glutamate). Specialized mobile cells called neuroids physically crawl around the sponge (https://www.google.com/search?kgmid=%2Fm%2F0cqdf&q=sponge), releasing chemical vesicles to communicate with digestive cells (choanocytes).

• The Capability: Sponge memory is predominantly based on sensory gating and habituation. For example, if you repeatedly introduce sediment into a sponge's water, it will eventually alter the memory threshold of its cells to trigger a coordinated, whole-body contraction—a "sneeze"—to clear its pores.
• The Core Limitation: Unlike the plasmodium (https://www.google.com/search?kgmid=%2Fm%2F064lb48&q=plasmodium), the sponge (https://www.google.com/search?kgmid=%2Fm%2F0cqdf&q=sponge) lacks the electrical ion channels required to generate an action potential (a nerve impulse). Its memory cannot be instantly flashed across its body; instead, it must crawl, touch, and slowly diffuse chemicals from cell to cell.

The Core Contrast