Experimental Evidence of Superposition and Superimposition of Cerebral Activity Within Pairs of Human Brains Separated by 6,000 Km: Central Role of the Parahippocampal Regions
Bibliographic record
Abstract
Previous experiments with chemiluminescent reactions indicated that when two loci separated by “non-local” distances shared specific temporal parameters of rotating magnetic fields with changing angular velocities the photon emissions doubled as if the spaces were superimposed. This excess correlation was considered an experimental demonstration of macroscopic entanglement. In the present study standardized LORETA (Low Resolution Electromagnetic Tomography) was employed to identify the location within pairs of human brains separated by approximately 6,000 km but who shared the same magnetic field parameters known to produce manifestations of entanglement. We predicted that when the frequency increment-dependent current densities within the cerebral volumes of the pairs during the entanglement condition were subtracted the regions with the minimum difference would simulate this superimposition. This superimposition occurred primarily for the theta band (4-8 Hz) within the parahippocampal regions, particularly within the right hemisphere, but only during the effector component of the exposure procedure when “entanglement” has been shown to occur. The results are consistent with the observations for photon emissions and shifts in the pH of spring water that demonstrated the properties of excess correlation between two loci. They exhibited the superposition of entanglement and the superimposition of space when a specific sequence of changing angular velocities circularly rotating magnetic fields was shared despite the non-locality.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".