Per 
Embedded Memetic Resonance Imaging and Neural Mapping Techniques
Timothy Aers, Violet Juniper
Abstract
Neural Mapping Memetic Resonance Imaging (nmMRI) is a technique where a series of specific memes are triggered and the response is recorded. The subtle different reactions to these memes can be used to reverse-engineer a neural web of the individual. This neural web acts as a unique identifier and can remain valid as such for a prolonged period of time1.
Normally, this technique would take a long period of time to record the response by hand, however, recent developments in the size of transistors and the cheapness of computer processing makes electronically embedded nmMRI a cheap, efficient tool. Additionally, the use of a personalised, working neural web can be reverse-engineered as a marketing tool.
Introduction
The human brain consists of approximately 100 billion neuronal cells2. These connect to each other in a complex, often hard-to-understand way. These neuronal connections, often called a neural web, give rise to a layer of abstraction which allows for consciousness, memory and emotions. Differences in a neural web also mean a difference in consciousness, memory and emotional response and in this way, no neural web is the same.
When information is delivered to the brain the information must be translated in a way that the brain can understand, called memetic encoding3. After this, the information is put through a series of abstract complexes within the brain to be processed. After processing, a thought, memory and/or emotional response is formed. This entire series is called the memetic encoding chain and can be, with sufficient time, reverse-engineered.
If certain stimuli provokes a certain cognitive behaviour, it is called a meme. A battery of memes can be injected into an individual through images, sound, text or tactile sensation to be processed by the brain's memetic encoding chain. As no two neural webs are similar, slight deviations in response are expected. Recording of responses can be used to reverse-engineer how an individual would react to a certain situation and furthermore, be used to reverse-engineer their entire neural web.
Materials and Methods
From results gathered from Logan H. & Seimens, K. (2003) "Memetic Identifiers", the generated 20 essential memes were used, with an additional 10 being generated to aid in implementation. These 30 memes, when delivered to an individual, will cause them to respond in a unique way and will deliver key information about age, gender, emotional state, behaviour, etc. These 30 memes were then transferred to a digital format and subliminally messaged to an experimental group of 20 individuals. A control group was used of the same size, however, the subliminal memes were sterilised of any memetic value, rendering them junk information.
Once the data have been collected an algorithm will attempt to sort the individuals by age, gender, emotional state and favourite colour. This will be confirmed by the individuals.
Results and Discussion
In the control sample, the algorithm was no better than chance. However, the experimental group shows an accuracy of 92%. It should be noted that some individuals found the algorithm to be exceptionally accurate and allowed some individuals to come to some conclusions about themselves that they had been struggling with.
These results are promising and show that electronic implementations of nmMRI is not only possible but a real possibility. This opens up a market for advertisers to deliver targeted advertisements detailed precisely for a specific individual or prices to be changed to the highest amount a specific customer will pay. Companies may use nnMRI results as a security measure as each nmMRI result acts as a unique identifier for each employee which cannot be forged, akin to a retinal scan.
Further research needs to be done on the speed, ethics, and understanding of how these results may be used in the future.
