Cerebral Dynamics and Discrete Energy Changes in the Personal Physical Environment During Intuitive-Like States and Perceptions
Bibliographic record
Abstract
The attribution of unobservable cognitive states to others, a component of the Theory of Mind, involves activity within the right temporoparietal region. We tested an exceptional subject, Sean Harribance, who displayed a reliable, consistent configuration of QEEG activity over this region that was confirmed through source localization software. The blind-rated accuracies of the histories of 40 people shown in 40 different photographs were strongly correlated with the quantitative occurrence of this conspicuous QEEG pattern displayed during Mr. Harribance’s “intuitive state”. The proportions of specific microstates were also strongly correlated with his accuracy of discerning the historical characteristics of the people in the photographs. Compared to the normal population his microstates were half the duration and his sense of “now” was about twice as fast as the average person. During his intuitive states there was strong congruence of activity between the left temporal lobes of participants who sat near Mr. Harribance and the activity over his temporal (primarily right) lobes within the theta and 19-20 Hz band. Reversible increases in photon emissions and small alterations in the intensity within the nearby (up to a 1 meter) geomagnetic field along the right side of his head were equivalent to energies of about 10 -11 Joules with amplitude modulations in the 0.2 to 0.6 Hz range. The results indicate even exceptional skills previously attributed to aberrant sources are variations of normal cerebral dynamics associated with intuition and may involve small but discrete changes in proximal energy.
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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 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".