The Brain’s Primary Memory Remains Uncoded

This study examines how algorithmic codes associated with long-term thinking and planning transition from the Secondary Memory, located within the Conscious Component of the cognitive system, into the Primary Memory embedded in the Brain Framework. Under typical conditions, Secondary Memory houses the structured, algorithm-like representations that guide deliberate reasoning, future-oriented planning, and complex decision-making. These codes do not reside in the Brain’s Primary Memory by default. (Fig. 1,2)

However, when an execution module initiates active processes of thought, planning, or strategic evaluation, the algorithmic codes begin to propagate beyond their origin. Through coordinated functional interactions between the Conscious and Subconscious Components, these codes are gradually extended and transferred into primary memory. This transfer is not merely a passive movement of information; rather, it reflects the system’s operational state as it performs the cognitive sequences associated with long-term intention. (Fig. 1,2)

Once the execution of these algorithmic codes is underway and the transfer into the brain’s primary memory is complete, the brain temporarily stores both the intention behind the long-term plan and the ultimate goal associated with it. In this state, primary memory holds the immediate operational data needed to support ongoing cognitive activity in the real world. However, the default mode of primary memory remains fundamentally free of the structured coding schemes that characterize secondary memory storage. Instead, it retains only the active representations necessary for guiding thought in the moment. (Fig. 1,2)

                                                                           

 

                                                                                   

Observation 1:

In this model, the Secondary Memory within the Conscious Component plays an active role during sleep by monitoring and processing dreams. It serves as the primary center for interpreting dream content, tracking sensory impressions, and maintaining the continuity of the dream experience.

By contrast, the Primary Memory located in the physical brain remains inactive primarily in terms of cognitive processing during this state. It does not perform its usual functions, such as managing instances of Conscious and Subconscious Components, making decisions, or directing attention. However, it still maintains a crucial link to the body’s physical systems. When a dream is disrupted, whether by external stimuli, internal stress, or sudden shifts in the dream narrative, the disturbance can generate a signal that is passed from the Secondary Memory to the Primary Memory. Once activated, the Primary Memory resumes its control functions, influencing the physical body. Thus, it can manifest as movements, shifts in breathing patterns, sudden awakenings, or other bodily responses that accompany the transition from dreaming back to conscious awareness.

  

The Dependencies Algorithms of Creativity Map

The algorithmic codes of modules beyond the Subconscious Component can influence and sustain the algorithmic patterns underlying a Creativity Map within the Conscious Component through vibrational frequencies. These subconscious algorithms generate and implement ideas for creative processes, which are then integrated into the functional mechanisms of the conscious mind. The unseen force of notion becomes intertwined with abilities such as curiosity, imagination, problem-solving, and the development of scientific or technical solutions. (Fig. 1)

The structural design of the Creativity Map can be applied universally, from artistic expression to practical, everyday challenges, and encourages an openness to new and positive perspectives. However, when the Network of Competitive Instincts and its aggressive drives dominate the Subconscious Component, the Creativity Map may yield adverse or distorted outcomes. Conversely, when the Network of Cooperative Instincts prevails, the Creativity Map yields favorable results, reflecting harmony, collaboration, and constructive innovation. (Fig. 1)

 

                                                                                 

Observation 1:

A Creativity Map of influential decision-makers engaged in innovative health community projects reveals that their strategic orientation is primarily driven by the need to survive within a highly competitive environment and the pursuit of personal or organizational advantage. This dynamic stems from the dominance of a Network of Competitive Instincts operating within the Subconscious Component of their decision-making framework. (Fig. 1)

Such an underlying psychological structure tends to produce assertive, goal-driven, and sometimes aggressive patterns of creativity, where innovation becomes a means of securing influence, recognition, and control of resources rather than purely advancing communal health outcomes. As a result, their creative outputs, while potentially groundbreaking, may also reflect adverse or self-serving perspectives, such as prioritizing visibility, control, or competitive success over collaboration and social benefit.

In essence, the Creativity Map underscores a tension between genuine innovation for community well-being and innovation as a tool for dominance and survival. This duality highlights how algorithmic codes, extending beyond subconscious competitive drives, can influence not only strategic decisions but also the moral and social aspects of creativity within health innovation ecosystems. (Fig. 1)

 

Observation 2:

Beyond the creativity map that shapes the Conscious Component of project leaders, the vibrational frequencies embedded within the algorithmic codes of their Subconscious Component can also be activated and expressed. When these deeper patterns are aligned, project activities tend to unfold more smoothly, requirements are met with fewer obstacles, products and services are more capable of satisfying customers or end-users, and team members collaborate with minimal conflict, delay, or miscommunication. (Fig.1)

To achieve this level of coherence, it becomes essential to investigate which specific algorithmic codes project leaders rely on, often unconsciously, before initiating particular tasks or strategic decisions. These subconscious codes influence how leaders interpret challenges, respond to uncertainty, and guide their teams through complex project environments. (Fig.1)

Moreover, the characteristics of these algorithmic codes do not remain hidden; they reveal themselves through a leader's speech patterns, tone, choice of words, communication strategies, and even through subtle aspects of their social interactions. By examining these outward expressions, it is possible to gain insight into the subconscious structures that govern decision-making, leadership effectiveness, and creative problem-solving. (Fig.1)

Understanding these deeper layers of cognitive and behavioral dynamics could offer new pathways for enhancing leadership development, improving project outcomes, and fostering organizational environments where innovation and harmonious teamwork can naturally thrive. (Fig.1)