Exploring the Neuron Loop Theory

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SELF REFERENCING NEURON LOOP THEORY – AUTHOR JOHN NEVILLE

 

This theory tries to explain how the subconscious mind works and converts sensory data received and processed in the conscious mind into abstract and creative data using a logical and mechanical process that could potentially be replicated by computers to create true internally generated creativity.

 

Feel free to read.

 

A very simple summarized explanation.

 

The conscious mind works like a computer that has a processor that manages the data and processes it for reasoning and understanding and so on, the subconscious mind works differently, the data itself continually performs self-referential loops on all the data and its meaning in the subconsciousness and by doing so while the data remains unchanged another layer which itself is a self-referential loop, exactly the same but opposite, to the sets of data/meaning that it is overlaying is combined and this combination of their combined looping, where the opposing sets of looping data challenge each other, creates links and interconnections between the sets of data/meaning which itself generates new meaning for the sets of data, and with an additional reference overlay which continually evolves with new meanings as the two looping data sets repeat this ongoing process on the data, and evolving data, and also with new sensory data, the process is repeated continuously, so in a way, in the subconscious mind the data processes itself, and the interconnections created in this process can be subsequently used by the conscious brain to generate creative and abstract ideas that are different from what the conscious brain could generate by itself from the data it has, which is still the same as the initial data the subconsciousness had.

 

In theory the opposing opposite self-referential loops will ultimately merge into one at some infinite point but until that happens the process results in every conceivable relationship or connection between the sets of data which could explain how to generate true creativity and abstract ideas and thoughts.

 

In summary this theory could be used to create new ways of computation where the combined, equal but opposite, self-referencing loops between the data become the data processor and as they challenge each other they continuously develop meaning, so essentially the data processes itself, which would vastly increase processing speeds compared with current computing abilities.  It would also provide the framework for the development of a truly creative AI that could replicate the functioning of the human subconscious brain and other things as-well.  I believe the process could also be simplified to be compatible with existing computation capabilities in specific sets of circumstances.  I could give a very simple example to show how the process works but equally if the process is valid, it could be applied to very complex sets of looping data or meaning.

 

Self Referencing Neuron Loop Theory  © 2025 by John Neville is licensed under CC BY 4.0. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/

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