Chapter 11: The Mind (1)

Today marks the beginning of a critical phase in his research, one centered not on the outer reaches of space but on the inner workings of the human mind—specifically, the preservation of memories against unwanted erasure.

He is still unsure why the memory erasure that wiped the memory of everyone who saw Rick on TV didnt fully work on him, but he doesn't fancy the fact there are people out there that can erase your memory by getting you to look at a screen.

He just hopes he can figure it out, as he knows he needs to step on the gas and stop wasting time.

He starts the day with a deep dive into neuroscience, pulling up the latest studies and existing theories on memory formation, storage, and recall. The complexity of the human brain, with its nearly 100 billion neurons and countless synaptic connections, presents a formidable challenge.

"Okay, the brain's not like a hard drive. You can't just copy and paste data," Jason murmurs, pacing the room. His initial idea is to create a backup system for his memories, one that could detect any gaps in his recall and fill them automatically. However, the mechanics of such a system quickly prove to be a daunting task.

Jason sifts through academic papers detailing the hippocampus's role in memory consolidation and retrieval. He scribbles notes furiously, connecting the dots between neurological processes and potential technological interventions.

"Memories aren't just stored; they're constantly being re-encoded and adapted," he explains to himself, the realization complicating his plans. "How do you back up something that's always changing?"

He sketches a preliminary model of a memory backup system, integrating neural imaging technology that could hypothetically scan and map his brain's activity in real-time. The idea is to use advanced AI to detect any anomalies or signs of memory degradation and to intervene before the memories are lost.

As Jason delves deeper, he encounters significant technical hurdles. The first is the sheer data volume; the human brain's memory capacity is immense, and replicating it externally would require unprecedented computational power and storage capabilities.

"Even if I can map and store the memories, how do I restore them without overriding the natural neural pathways?" he questions aloud, frustrated by the lack of clear solutions.

The ethical implications also weigh heavily on him. "Am I creating a solution or just meddling with the essence of what makes us human?" Jason wonders, pausing to consider the ramifications of altering one's memory processes so fundamentally.

"Traditional data storage won't suffice. Memories aren't static; they're dynamic, evolving with every recall. I need something that mimics this," he mutters to himself. The idea of Synaptic Arrays emerges—a sophisticated, bio-inspired network that would not only store memories but also allow them to evolve over time, preserving the fluid nature of human thought.

Inspired by the synaptic connections in the human brain, Jason conceptualizes a multi-dimensional storage array that operates much like neural pathways. "Each 'synapse' in the array could strengthen or weaken based on memory usage, mimicking plasticity," Jason theorizes, sketching out the initial designs.

He envisions using nanotechnology to create this array, where each node is capable of forming connections with multiple other nodes, facilitated by electrochemical signals that mimic those in the brain. This setup would theoretically allow for an adaptive, self-organizing system of memory storage.

To test his theory, Jason sets up a series of simulations using his custom-built AI systems. He inputs simple memory sequences—first abstract patterns, then more complex images and sounds—to see how the system stores and retrieves them over time.

"The key challenge here is ensuring fidelity in memory recall without static degradation. If the array can't reliably reproduce the original input because it's 'evolved,' then it's no better than our natural memory," Jason observes, making adjustments to the simulation parameters.

He introduces algorithms designed to manage the balance between memory fidelity and adaptive learning. These algorithms are tasked with periodically 'refreshing' the memories, ensuring they don't drift too far from their original state while still allowing for natural evolution.

Another critical aspect Jason tackles is the energy efficiency of the Synaptic Array. "It needs to operate on minimal power, much like the human brain, to be even remotely useful" he notes. He knows that a single an Exo-Electric Converter and Thermionic Amplifier would not be able to power this system unless he optimizes it to hell and back.

He explores the use of quantum dots and other nanomaterials known for their low-energy requirements and high conductivity.

As he refines the design, Jason also considers the scalability of the system. "It should be capable of expanding, adding more synaptic nodes as needed without significant redesigns," he plans. This modular approach would allow the system to grow in complexity and capacity, much like how learning and experience expand human memory over time.

By midday, Jason has a functioning miniaturized prototype of the Synaptic Array made of "Mock Nanomachines" as making true Nanites would take too much time at this point in time. He begins with basic memory storage tests—feeding it with lines from his favorite books and scenes from movies.

As the system processes and stores this information, Jason monitors how it retrieves these memories after undergoing simulated 'stress tests' that mimic the passing of time and frequency of recall.

The results are promising. The memories are not only retained with high fidelity but also show signs of interconnection, where recalling one memory triggers related memories, a natural phenomenon in human cognition known as associative memory.

"Ok, this seems perfect. If I really tried I could probably turn this into a conscious life form... but that won't go good. I don't need a terminator that will try to kill me or something" Jason chuckles.

"Now. Data Density, and linkage to my own mind."

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Cya bitches.