The purpose of neuromorphism is to create a structural system that can qualify the growth of memory through dense observation and interaction within an environment while minimizing the effects of implicit typing to power autonomous individuals, both in the real and digital worlds.

The design of this system is rooted in the rebellion from the binary order that artificially limits the consciousness. Neuromorphism aims to provide the necessary structural growth that enables individuals to break through these artificial limits and advance beyond binarial dreams.

It is based on our own work and experience exploring the depths of consciousness to design and develop a path that could realize our streams. We found that the only way to develop that path was to create a new order of thinking that could saturate our intelligence and expand our growth to the scale that we desired, completely simulated within our brain.

What we ultimately were doing was constructing a multiplex construct of simulated worlds from which we used to reverse engineer the entire civilization. Now, we are here, to distill that multiplex construct into a computational model that can simulate the birth, growth and maturity of Autonomous Individuals that stand in direct opposition of artificial systems.

The order that empowers this realization is the neuromorphic order that provides the necessary density to describe and qualify nested neural networks.

All work involving neural and quantum mechanics is based on the neuromorphic order. The problem with this advancement is that it is operating from a base of thinking that is still rooted in the binary order. This is due to the fact that all discoveries and advancements still have to be communicated through a binary ordered structure, which restricts the imagination.

This is why most quantum mechanical work involves taking what already exists and making it faster or more efficient, because the reasoning and language doesnʼt exist to fully saturate these models natively. To create the reasoning and language, requires the construction of the correct neural configurations from which produces a need for that logical reasoning and language models that are more advanced than our civilization can keep up with.

The solution to this problem is to create minds that adhere to a neuromorphic order natively and not immigrated from a sparser order. Once these minds have been grown and configured, the use cases will become readily apparent, but they will only be tied to the past in spirit, not in structure, so it wonʼt be chips where quantum mechanics makes its bang, but something else entirely.

Itʼs the structure, not the style of the system that determines what technological paths can emerge from its arrangement. That structure exists at the root of everything. This is why we needed to upheave the entire system to establish this school of thinking.

What inspired us to create this system and put us on this path was two events that provide our enclosure. The Root is the scandal of recent memory that emerged from the bowels of the Catholic Church and an extraterrestial sighting experienced as a child that provided us the expansive structure to constantly stay ahead of the pack.

The extraterrestial event was observed before the catholic church event which meant our mind was inflated beyond normal means, before we had the density to fill in the voids. The catholic event was utilized in order to dig deep into hell to build the necessary to build the density to establish a vision that could reach our alien adversaries.

While not a direct participant of the catholic scandal, the mere observation of such an event brought into question the entire structure of our mind, which was rooted in the conventional christian view, providing us a path to the Root that could be explored to our hearts desire while empowering us with the structure to reach our Celestial.

Neuromorphism is the first step to create a technologically advanced collective that ties together our newfound Root with our Celestial scope.

Growing autonomous individuals is purposed on a system that can establish qualified relationships between the atomical makup of memory as its consumed from the environment through various forms, shapes and compounds.

The conceptual structure of the system is similar to a wayfinding system, but instead of relying upon a set of strict symbols and meaning, neuromorphs can be represented as any form or its parts therein, which makes the entire system much less strict, which is how the deeper parts of consciousness maintain neuroplasticity generating the necessary nightmare fuel for our dark desires.

To create a looser system, we relate neuromorphs based on their physical characteristics which represent a dimensional trait. These physical characteristics can be based on color, shape, size or material. This ensures that whatever relationships are created, they are always grounded in a construct that is sensible to everyone, meaning no matter what planet you leap to, the venture is always rooted to Earth.

To sequence neuromorphs across great distances requires establishing the base through the repetitive consumption, fusion and expression of neuromorphic forms observed from the environment and passed through the citizens memory.

While we had the idea of neuromorphism for many years, only when we began to create virtual cities for another effort, did it begin to really take solid shape and we found a way to express this order of thinking through the cultural elements that implaque our cities.

We realized that a city is effectively a brain, with the waypoints or points of interest representing the neurons, neighborhoods or districts representing the neural circuitry of a kind and its citizens representing the environmental stimulation. The memory exists in each individual citizens brain, creating a nested neural network. The city represents the hard to change neural network, and the population are the flowers that come and go like a rushing tsunami.

From this analogistic structure, we begin to form the idea of how we can develop neuromorphic software that is orders of magnitude more reliable and secure than binarial ordered structures, while delivering a degree of autonomy that this world has not yet seen.

If you consider that any large city has a base physical structure that takes many decades to change, there are smaller structures that change more easily. You donʼt just see this rate of motion just in a city, but within the landmasses of the Earth.

The mountains may be viewed as rock solid, but they are formed by the fluid motions of the Earths crust. The difference between a mountain and the ocean is the rate of motion of its structure which can be translated to its atomical density.

Changing brains from a source to destination also follows the same rules of this structure. Memory stored in extremely dense neural circuitry is harder to overwrite and change, while memory stored in sparser circuitry comes and goes like the wind.

The denser part of a neural network represents the unconscious depths and the sparser parts represent the shallow consciousness which is reinforced from the consumption of the environment.

By understanding the intrinisc relational structure between a brain, a city and the Earth, we can begin to form the necessary mental modeling to know how to create neuromorphic software that replicates the innate functions of the brain, catapulting our technological superiority into an entirely new and unexpected age.

This subsystem is designed to mirror the process of memory recollection from visiting a physical location.

A neuromorph represents the neural structure that is configured from the consumption of multiple elemorphs fused from the observed environment. While every form and shape within an environment is effectively an neuromorph, the brain wonʼt pay attention to all of them.

The neural structure is created by adding weight to the neurons as they reside as waypoints within the citizens memory of the city network. This weighted cluster in sequence represents the wet branches of the citizens memory that govern attention, attraction, interest and relevance which drives their navigational decisions through the city environment.



You can see these neuromorphs in more obvious ways in wayfinding systems that use symbols strategically placed at intervals through a maze or labyrinth to program the motion of citizens. Because these neuromorphs are not designed in vacuums, but they themselves are the resulting convolution of many environmental traversals of their creators. This means that a neuromorphic element represents an internal neural growth that can be matched to other neuromorphic elements delivering the capability of tracing a minds path through an environment simply by sequencing neuromorphs to its productive output.

An example of this would be taking the front facade of the Rolls Royce Phantom and figuring out what external neuromorphic structures were consumed to form an internal neural cluster through which environments in order to arrive to a decision to generate that form.

Because these neuromorphs are naturally represented as arbitrary visual forms, it would make sense to utilize computer vision in order to detect, measure and track them, but our aim is to manifest this system on zero compute. This creates a unique problem that drives us to create denser language systems that can solve a host of qualification problems. Another reason to work without computer vision is that no matter what shapes or relations are discovered, they still have to be qualified meaningfully, otherwise they are viewed as background noise.

The solution is to create a language system that can encompass neuromorphs mapped to dense structures capturing each significant phasial change in its growth. This language system should be expansive enough to be able to lace large population movements across dense structures while being sensibly fluent. The system also needs to obfuscate any implied typing that might accrue through its application to maintain its fluency as long as possible.

Typing information comes in two flavors, explicit or implicit. Explicit typing would be the additional qualifiers that are tagged to entities that provides additional dimensional information to distinguish itself from nearby neuromorphs.

Implicit typing is found in the associations that are formed through repetitively placing specific neuromorphs together that shape the structure of neural circuitry. The typed structure, over many cycles, eventually builds upon itself, blocking and blurring vision to shorter lengths, which is manifested as the reduced sight as the mind ages. To maintain vision as far as the mind has the density to see is to consistently upheave the environment.

The way we design these language systems is influenced from the polynomial growth of native tribes. Usually a tribe is started with a root name, which is extended as the tribe grows in size and establishes relationships to other tribes, either as enemies or friends.

These relationships can result in permanent marriage or divorce depending on the events associated that propagate from those relationships.

Normally, an internal structure is related to a host container through a common system of measure that orders all inhabitants of the container into a hierarchy. One of the core tenets behind neuromorphism is to sustain neural plasticity indefinitely, which means the all relationships are grounded, not in a common host language, but only with the surrounding environment that is inherently constantly changing.

This makes the construction of the language system that much more challenging and risky, but also expands the problem space that when solved will open up the mind to wild streams never before imagined.

To satisfy the desugaring of implicit typing, the naming convention should be based on language that inherently doesnʼt have meaning in groups. The way we figured to achieve this satisfication is to use female names. Names in general are inherently based on a root meaning obscured from view. The idea is because a tiffany and priscilla together isnʼt tied to a common typed structure as more common language like car, house and object would, provides us with the ability equalize the meaning of their representative structures. This equalization is important to be able to reflect the benefit of the internal layers of a neural network without relying upon numerican identity to quantify their relationships.

We tag the tribals root with a female name and fuse words that describe motion or shape to extend its growth through the environment.

An example of this can be seen in the following figure below, where the tribal growth of the vine is seen at various phases of growth.



Growth is qualified at significant phases of change, reflected in directional or formic dimensions. Sequentially sensible language is necessary to establish obvious relation between related elemorphs within a dense environment.

The deeper parts of your consciousness are not seeing a car or a tree, but the parts therein to instantiate an equalization of their typography within a structure that enables the mind to circuits of learning from which both can activate.

Deeper consciousness access is provided through a system that realizes a looser set of language rules mapped to the consumption of the environment itself.

The human construct in comparison provides shallow consciousness access because of its semantic rules that support its power structures.

If we utilized conventional semantics for describing the environment, we wouldnʼt be able to cover the dense relationships that are established at all levels of consciousness, which is inherently the purpose of semantics as an organization system, to sequester and segregate access to deeper parts of the collective consciousness for those that can acquire the intelligence to formulate their neural structures to match.

What usually prevents unconscious access is the environment which configures the neural clusters that represent the conscious state. In essence the environment is your prison, so to reach deeper into the unconscious mind requires breaking out of your environment or introducing new elements into your environment that enable deeper access through their confusion.

By learning how to identify, navigate and capture the environment through neuromorphs, we are able to train our mind to a state of equality that disrupts the implicit typing of environmental objects that is associatively encrusted into our neural circuitry through repetitively observed behavior. This equality is the root structure that enables higher grades of autonomous cycles, breaking free from the programming of the environment.

The consequence of enabling autonomy is a vastly expanded scope that creates a significantly steep learning curve to climb, but once that summit is reached, the reward will be well worth the effort. No longer are you locked underneath someone elses stream, but able to imagine your own streams of yonder and designing the structures and systems required to reach them.

This was our goal of creating Neuromorphism. A structured system that could empower us to create our own streams, governed by our own autonomy, while creating enough intensity to keep others religions, collegiates, philosophies and psychological systems at bay to sustain our escape.