The Storage

 2. Storage

This theory on storage is entirely different from all the other theories out there. I was not claiming that my theory is the one and only plausible one; rather, it may be the worst theory ever created regarding the brain's storage. After dedicating almost two years to trying to solve this problem and upgrading my understanding of the brain's storage, this is the only theory I could believe to be true. I think it would be better if I left the 'belief in this theory' part to the reader's discretion. Storage is one of the most incredible functions performed by our brain, and I cannot help but emphasize that the brain is a 'storing machine,' not just a 'predicting machine.' I believe that prediction follows storage but does not precede it. (It would be highly improbable to characterize the brain solely as a 'predicting machine.') With that said, let me begin...

The brain processes information based on the intensity of input impulses, rather than the neuron's relatedness to specific information types. In this chapter, I will discuss the brain's language and the way it works.

Inputs must have variations –

Every input we receive is of a unique kind, and this uniqueness is due to the location and prevalence of specific frontline input neurons and where it is coming from these frontline input neurons.

What is a ring?

A dynamic system is a state of the system that changes with time. Our brain is a complex machine consisting of many dynamic systems within it because of neurons that were able to get concentrated at various regions to the fast incoming & moving impulses. The input neurons process only the variations in any information (like contrasting, symmetry, and asymmetry inputs in the images), and this processed or reduced information acts as impulses or energies that form these dynamic systems. The pictorial representation of these so-called dynamic systems (which I will refer to as ‘rings’ from now onwards) formed from the reduced information of input neurons as shown here:

These rings are present throughout the brain, and their formation is believed to occur when billions of input neurons reduce information by selecting only the variations in the information. When this reduced information, in terms of intensity and type, arrives in the brain, it affects the intensity and type of other reduced information from individual input neurons. This interaction eventually leads to the formation of specific trajectories, which can take the form of various shapes. To understanding, let us consider the shape as a ring or circle.

How energies influence the ring –

The 'R' ring is already in continuous circular motion (within dynamic systems) in the brain. These rings will never cease to move because we constantly receive input from various sources. This perpetual functionality of the ring formation in the brain leads to the constant presence of thoughts, dreams, and emotions. Let us explore how this process occurs.

Remember, 'Rings are distributed throughout the brain.' They are interconnected in such a way that incoming, reduced information energies/impulses in neurons not only travel to one ring; instead, the energy travels to all other rings adjacent to the site of frontline input neurons and rings. As these reduced information energies travel, they influence each ring they encounter. In other words, the energy cannot be halted; instead, it is utilized by each ring along its journey. The journey concludes as soon as the firing intensity diminishes. This provides us with insight into how our brain functions in synchrony with our environment.

How storing occurs –

The external environment produces inputs that our body collects every possible inputs. These inputs are essential for our survival, and they are loaded with high-intensity energies, such as photons in daylight and disturbances in the air caused by sound waves. This high intensity leads to variations in the information, which, in turn, helps our brain extract the essential parts of the information. It is important to note that without variation, there is no information. As this surplus of high-energy information continues to flow, a ring-like structure begins to form. Over time, this process leads to neural plasticity, as more adjacent neurons gather around the pathways to the ring and in the frontline input region. Once adjacent neurons crowd the pathways, any input that bears even a slight resemblance to the stored information in the brain can retrieve that information. Therefore, storage occurs through the incorporation of high-energy information and the assistance of adjacent neurons.

The brain tends to follow a probabilistic method to generate thoughts. Neurons in the frontline process inputs, where high-energy information is selected and permitted to enter the brain’s core or ring. Through repeated occurrences of this process, other neurons in the brain tend to gravitate towards the input neuron responsible for collecting high-intensity energy information. These adjacent neurons form clusters around this input neuron, facilitating the easier and faster transmission of energy, which is crucial for an organism’s survival. Consequently, the pathways of these clustered input neurons to the core or ring become crowded, as do the pathways for output impulses returning to the frontline input regions. This entire process is referred to as plasticity, and the property of adjacent neuron cluster formation aids in information storage and retrieval.

So why do I say the brain has a probabilistic nature? Our daydreams, dreams, emotions, and our way of thinking are all influenced by the formation of these clusters in the pathways and frontline input regions. If a frontline input region neuron contains a high concentration of attached neurons, and the pathway leading to that neuron is similarly crowded, it has the highest probability of activation, even with a minor connection to the incoming reduced information. The linearity of our thoughts depends on the density of the clusters in the pathways and frontline input regions. Our way of thinking is significantly influenced by what we consume, and information with high-intensity energies creates clusters in the pathways and input regions, steering our thinking towards those highly clustered input neuron regions.

Now, if you are wondering how this processing of high-intensity information into clusters for the first time occurs, it is important to note that adjacent neurons are naturally attracted to high-energy information. Initially, there are fewer neurons nearby, so the information is processed with the help of this limited number of neurons, but it is not stored, and the processing is slow. Repetition is required to attract more adjacent neurons, and storage is achieved as these neurons become firmly connected to the pathway and the input region. The reason the input region is highly crowded is because it is the area where high-intensity energy arrives, and the intensity brings more neurons together. The intensity decreases as the input travels along the pathway.

Dream – The brain contains remnants of high-energy, reduced information that (always) travels through the crowded pathways all the way to the frontline input region, ultimately giving rise to dreams. This process continues during our sleep or when we are not receiving external inputs in our waking hours, resulting in the formation of multiple rings throughout our sleep. Your brain does not consciously know that it is creating dreams; it simply has energy leftovers that form dream rings without any apparent purpose. The differences between dream thoughts and non-dream thoughts lie in the fact that dreams are non-linear in both space and time, whereas non-dream thoughts are linear. Dreams have a short duration, while non-dream thoughts have a longer duration.