Paradoxical Abstract Patterns Beyond Visualizations

A single interface module of the brain (human sensory inputs) provides an accessible pattern and data to the brain structure from external surroundings. Algorithmic codes of environmental input transfer in distinct biological neural networks emerge, comprising both subconscious and conscious components, through vibrational frequencies, and generate a conceptual desire for future planning. Visualization is not simply a product of neural activity. However, a multi-layered process is governed by the interaction between the Subconscious and Conscious Components, orchestrated through algorithmic codes within a holographic cognitive system.

Algorithmic patterns and inferences in the physical world are explored in the visual category of daily life, allowing individuals to expand their knowledge and achieve desired outcomes by interpreting and transforming abstract phenomena into concrete forms. However, the brain structural interface and neural networks cannot distinguish between real-life experiences and imagined or visualized events.

Humans can establish algorithmic codes beyond visualization without inferences from the physical world through emerging algorithmic codes beyond the Subconscious and Conscious Components. The brain structure is not involved in creating and processing algorithmic visualization codes. Therefore, primary memory may not capture algorithmic codes of visualization.

 

1. Subconscious Component

 

1.1-Generates symbolic images, emotional tones, and abstract patterns.

1.2-Draws from deep memory, the Instinct Component, the Superego/ Ego framework, the Belief System, and internalized experiences.

1.3-Often active in dreams, meditative states, and spontaneous imagination.

1.4-Role: Provides the raw data, emotional context, symbols, and patterns for visualization.

1.5-Sources: Deep memory, instinctual processing, dream-like imagery, archetypes of culture.

1.6-Activity: Active during sleep (dreams), hypnosis, meditative states, and spontaneous imagination.

 

Brief definition:

Operate through nonlinear logic, emotional pattern recognition, symbolic compression, and archetypal imagery. These codes generate the raw content of visualization, images, sensations, emotional textures, and intuitive symbols. 

Example: When individuals suddenly see a symbolic image in the physical brain without effort, external algorithmic codes are likely emerging into the Subconscious and Conscious Components modules. It creates a new prototype and concepts to navigate the evolutionary path of life.  

 

2. Conscious Component

2.1-Directs and organizes visualization with intention and awareness.

2.2-Uses logic, attention, and willpower to shape mental imagery in the secondary memory.

2.3-Active during planning, problem-solving, and deliberate imagination.

2.4-Role: Directs, refines, optimizes, and gives intention to visualization.

2.5-Sources: Logical thinking, attention, goal-directed imagination, and mental rehearsal are stored in the secondary memory.

2.6-Activity: Active during conscious visualization, like planning, designing, or mentally simulating events, exploring repository data from past experiences, and theoretical analysis of frameworks.

 

Brief definition:

Execute sequential logic, goal-oriented simulation, and attentional prioritization. These codes refine, direct, and give structure and narrative to the imagery.

Example: When an athlete visualizes performing a routine step-by-step, the Conscious Component generates the plan blueprint and is supported by Subconscious memory.

 

3. The brain is an interface of human sensory input

Although the brain is not the origin of visualization, it is the biological interface where mental images are constructed and experienced. Key regions include:

1. Visual Cortex (Occipital Lobe): Renders mental images stored in the primary memory.

2. Prefrontal Cortex: Provides focus, sequencing, and control in short-term memory.

3. Temporal and Parietal Lobes: Retrieve memories and organize spatial details.

4. Default Mode Network (DMN): Supports self-generated thoughts and inner simulations.

 

 4. Construction process for creating visual representations

Visual representation emerges and interacts through three components as follows.

1. The brain submodules are explored as interfaces that create the final mental data image for the Subconscious and Conscious Components.

2. The subconscious unit generates the content that generates symbols, emotions, and visual elements.

3. The Conscious shapes the structure, clarity, rationality, purpose, sequencing, and narration.

 

5. Holographic Cognition and the Visualization Process

The mind operates as a holographic field, where every part contains the informational structure of the whole. Visualization reflects this principle:

5.1-Each mental image is a compressed holographic packet containing spatial, emotional, and informational data.

5.2-Like a projection lens, the brain serves as the interface, decoding and displaying this holographic information into conscious awareness.

5.3-Every visualization contains fractal references to broader inner and outer realities—this is why dreams, imagination, and spiritual visions can hold multi-layered significance.

 

6. Brain as Interface (Biological Execution Layer)

Though visualization originates in deeper cognitive layers, the brain acts as the biological decoding system. It shows  algorithmic functions in designated components as follows:

 

                                                                             

While visualization and intention emerge from deeper cognitive and abstract layers of the Conscious Component, the brain functions as the biological interface for execution and translation. In this role, it decodes non-material cognitive inputs, such as intention, imagery, emotion, and codes of belief, into structured neural activity that can interact with the physical body and environment. The brain does not originate meaning on its own; instead, it operates as an adaptive processing system that converts higher-order cognition into actionable biological signals.

From an algorithmic perspective, the brain can be understood as a distributed execution layer composed of specialized subsystems, each performing distinct but interdependent functions, as the following statements:

6.1-Perceptual Decoding Modules

Sensory cortices translate external stimuli into neural representations, effectively digitizing physical inputs such as light, sound, touch, and chemical signals into data that the system can process. These modules filter, compress, and prioritize information before passing it upstream.

 

6.2-Pattern Recognition and Prediction Engines

Associative regions, such as temporal and parietal networks, identify patterns, compare them against stored models, and generate probabilistic predictions. Thus, it enables anticipation, learning, and contextual interpretation, core functions of adaptive intelligence.

 

6.3-Intent-to-Action Translation Units

The prefrontal cortex and motor planning areas act as compilers. Abstract goals and intentions are broken down into executable sequences, which are then dispatched as motor commands or regulatory signals through the nervous system.

 

6.4-Emotional Weighting and Signal Amplification

Limbic structures assign value, urgency, and salience to cognitive content. Emotion functions as a gain control mechanism, amplifying or dampening signals to influence decision-making, memory encoding, and behavioral output.

 

6.5-Feedback and Error-Correction Loops

Continuous feedback from the body and environment is compared against predicted outcomes. Discrepancies trigger adjustments, refining future responses. Thus, it mirrors iterative optimization processes found in computational systems.

 

In this framework, the brain is not the source of the Conscious Component or creativity but the interface layer that enables their expression in biological form. It executes, optimizes, and regulates, bridging the gap between abstract cognition and physical reality through electrochemical processes. As such, the brain can be seen as a living operating system: dynamic, self-modifying, and tightly coupled to both internal states and external conditions.

 

7. Integrative Model:

Visualization can be created without data inferences within abstract phenomena by the Subconscious and Conscious Components. Otherwise, it establishes inferences with evidence and repository analysis of statistical data in the real world through the Brain framework and is extended to the Conscious Component. The power of visualization can be developed by understanding knowledge bases and visualizing data to gain valuable insights.

 

7.1-Create a visualization based on external inferences

Multiple dissociation phenomena are initiated and perpetrated from external environments via brain systems (visual cortex, prefrontal cortex, hippocampus), so integrated brain structure models establish and support logical codes within the Conscious Component to generate visualization patterns. The outcome of visualization is modulated by emotional tone, purpose, and intention. (Fig. 1)

 

Visualization = (Subconscious Content) × (Conscious Direction)

 

The Subconscious and Conscious Components function through distinct vibrational frequencies with interconnected algorithmic codes, each contributing uniquely to the overall system's operations. These operations are input-interfaced and mirror external surroundings through the brain's neural architecture. The submodules of the Subconscious Component can reflect preprogrammed symbolic codes, and the Conscious Component would contribute logical codes from the repository unit to brief following the equation. (Fig. 1)

                                             

                                                                             

 

Visualization = (Subconscious Symbolic Codes × Conscious Directive Codes)

 

7.2-Create a visualization of internal inferences

Algorithmic codes of visualization can be created through a correlation between modules beyond the Subconscious and Conscious components. The desired outcome of the visualization map is not transparent to the brain framework and instance domains. (Fig. 2)

 

                                                                                     

 

 

 8. Summary

Visualization is generated through a dynamic collaboration between the Subconscious and Conscious Components, using the brain as an interface to translate external data into vivid mental imagery. Individuals can establish algorithmic visualization codes through internal processing and interpreting codes without the entanglement of brain structure. Therefore, the brain and submodules cannot differentiate the correlation between internal algorithmic codes beyond the visualization map and imagined or visualized external events.

 

Holographic Biological Systems Embedded in a Holographic Universe

The holographic principle, a concept from theoretical physics, proposes that the complete description of a three-dimensional space can be encoded on a two-dimensional boundary, similar to a hologram. This idea implies that our universe might be a projection of information inscribed on a lower-dimensional surface. Although still speculative, this principle offers profound implications for understanding the fundamental nature of reality and the structure of the cosmos.

 

1. The Hologram as an Informational Architecture

 

Observational insights suggest that a hologram is more than a visual phenomenon; it is a unified, self-contained domain where all entities and subsystems interact coherently. From a systems theory perspective, this implies a structure in which every part contains encoded information about the whole. Such systems support distributed processing, adaptive regulation, and systemic updates through algorithmic codes from a higher-order Supervisor of global consciousness. (Fig 1)

Errors or disruptions within this informational architecture, due to breakdowns in coordination or operational flow, can generate cascading instabilities, potentially leading to chaotic outcomes. Therefore, a hologram represents a dynamic informational matrix, where every change in one component resonates throughout the system, maintaining coherence and integrity. (Fig 1)

 

  

                                                                                             

 

  

2. A Holographic Universe: The Case of the Solar System

 

This study hypothesizes that the universe itself exhibits holographic properties. The Solar System, for instance, operates under shared algorithmic codes that govern planetary functions and orbital dynamics. The coordinated movement of all eight planets suggests systemic harmony, where disruption or misalignment could result in instability. This systemic interdependence reinforces the concept of the Solar System as a holographic unit, nested within the broader universe, a cosmos composed of interlinked, algorithmically coherent domains.

 

3. Biological Systems as Holographic Structures

 

Human biological systems exemplify the same holographic pattern found at cosmic levels. Every cell in the human body not only contains the complete genetic blueprint (DNA) of the organism, but also participates in continuous intercellular communication through:

 

1-Chemical signaling (such as hormones, neurotransmitters).

 

2-Electrical impulses (such as neurons, cardiac function).

 

3-Quantum-level coherence (as suggested in emerging fields of biophysics).

 

While cells specialize through epigenetic expression, the entirety of the genetic code remains accessible, demonstrating that each cell functions as a microcosm of the whole body.

 

4. Systems Theory and Algorithmic Networks

 

From a systems-theoretical perspective, the body is not merely a collection of parts, but a self-organizing network of code-sharing units. Cells function as algorithmic nodes within a global infrastructure, contributing to an intelligent web of communication and adaptation.

 

In such a system:

 

1-Information is globally distributed rather than locally isolated.

2-Each cellular unit operates within an integrated map of homeostasis, repair, immune logic, and adaptive codes that evolve and respond to internal and external conditions.

 

5. Philosophical and Metaphysical Dimensions

 

If the physical body is a hologram of integrated algorithms, then the Subconscious and Conscious Components are likewise holographic. Each submodule within the psyche shares algorithmic codes across networks of instinctual behavior and cognitive modulation. These codes reflect and respond to external inputs, aligning the brain framework with the physical body in a seamless movement of adaptation, reflection, and evolution.

 

6. Conclusion

Biological systems represent living holograms. Every cell contains the complete genetic algorithm and continually communicates with the entire organism through its specialized function. This mirroring of the whole within each part illustrates the holographic unity of life. Furthermore, the universe, conceived as a holographic space, interacts dynamically with these internal biological holograms, forming a multi-layered, responsive ecosystem. Together, they constitute an interwoven field of code-based intelligence, where matter, life, and the Subconscious Component are integrated through a shared architecture of informational coherence.