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This explanation of what a brain is and does rests on informational firstprinciples, because information theory, like its parent theory thermodynamics,is mathematically sacrosanct, itself resting on real-valued probability.Just asthermodynamics has enabled hyper-potent physical technologies from the internalcombustion engine to the hydrogen bomb, so information theory has enabledhyper-persuasive technologies, from color television to addictive video games.Only a theory of what a brain is and does based on those same principles makeslegible and transparent the mechanisms by which such hyper-persuasion works. Ininformation-theoretic terms, a brain is a specialized real-valued real-time 3Dprocessor detecting discontinuities in spacetime outside itself andreconstituting in itself a continuous reality based on them. This continuousapproach is difficult to reconcile with any computational architecture based onseparate neurons, and in fact the vast discrepancy in efficiency (of order atleast a hundred million) between those architectures constitutes thecalculations of this paper. This remarkable signal-processing requires strongprior hypotheses embedded in 3D edge-detecting algorithms, priors whichunfortunately also open an unpatchable security hole to automated persuasion.So a 3D model of the brain is essential for understanding how and whypersuasive technologies alter our perception of reality, and for protecting usagainst systemic, systematic cognitive manipulation.

Elastic Nanocomputation in an Ideal Brain (1p abstract + 36 pages + 49 endnotes)