A THEORY OF NEUROPHYSICS AND QUANTUM NEUROSCIENCE: IMPLICATIONS FOR BRAIN FUNCTION AND THE LIMITS OF CONSCIOUSNESS
Bibliographic record
Abstract
The authors have assumed there are specific temporal patterns of complex electromagnetic fields that can access and affect all levels of brain space. The article presents formulae and results that might reveal the required field configurations to obtain this access and to represent these levels in human consciousness. The frequency for the transition from an imaginary to real solution for the four-dimensional human brain was the wavelength of hydrogen whereas the optimal distance in space was the width of a proton or electron. The time required to expand one Planck's length as inferred by Hubble's constant for the proton was about 1 to 3 ms, the optimal resonant "point duration" of our most bioeffective magnetic fields. Calculations indicated the volume of a proton is equivalent to a tube or string with the radius of Planck's length and the longitudinal length of m (the width of the universe). Solutions from this approach predicted the characteristics of many biological phenomena, seven more "dimensions" of space between Planck's length and the level of the proton, and an inflection point between increments of space and time that corresponded to the distances occupied by chemical bonds. The multiple congruencies of the solutions suggest that brain space could contain inordinately large amounts of information reflecting the nature of extraordinarily large increments of space and time.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".