Shadows of Consciousness: An Investigation into Ionic Neural Networks Using the Neurotransmitter Ion Receptor Glial Endocannabinoid Network (NIRGEN) Paradigm
This paper critiques the historical and political delays in updating AI architectures to reflect biological reality, arguing that the field's reliance on continuous voltage abstractions ignores critical ionic, glial, and retrograde mechanisms, and consequently proposes NIRGEN, a discrete, biophysically grounded Ionic Neural Network that overcomes the limitations of standard models by incorporating molecular conservation laws and enabling computations like XOR with single units.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of a preprint that has not been peer-reviewed. It is not medical advice. Do not make health decisions based on this content. Read full disclaimer
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