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

TL;DR
This paper proposes an information-theoretic model of the brain as a 3D real-time processor detecting spacetime discontinuities, highlighting implications for understanding and defending against persuasive technologies.
Contribution
It introduces a novel 3D information-theoretic model of brain function based on real-valued processing and edge detection, contrasting with traditional neuron-based architectures.
Findings
Brain modeled as a 3D spacetime discontinuity detector
Significant efficiency gap between proposed model and neuron-based architectures
Implications for understanding persuasive technology and cognitive security
Abstract
This explanation of what a brain is and does rests on informational first principles, because information theory, like its parent theory thermodynamics, is mathematically sacrosanct, itself resting on real-valued probability.Just as thermodynamics has enabled hyper-potent physical technologies from the internal combustion engine to the hydrogen bomb, so information theory has enabled hyper-persuasive technologies, from color television to addictive video games. Only a theory of what a brain is and does based on those same principles makes legible and transparent the mechanisms by which such hyper-persuasion works. In information-theoretic terms, a brain is a specialized real-valued real-time 3D processor detecting discontinuities in spacetime outside itself and reconstituting in itself a continuous reality based on them. This continuous approach is difficult to reconcile with any…
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Taxonomy
TopicsNanotechnology research and applications · Nanoparticles: synthesis and applications
