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Convergence of Numbers of Synapses and Quantum Foci within Human Brain Space: Quantitative Implications of the Photon as the Source of Cognition

2014· article· en· W2134283377 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Letters of Chemistry Physics and Astronomy · 2014
Typearticle
Languageen
FieldMedicine
TopicBiofield Effects and Biophysics
Canadian institutionsLaurentian University
Fundersnot available
KeywordsPhysicsPhotonQuantumQuantum mechanicsQuantum electrodynamicsNeurosciencePsychology

Abstract

fetched live from OpenAlex

Quantitative solutions involving classical methods indicated that the numbers of quantum foci within the human cerebrum are the same order of magnitude as the numbers of synapses in the cerebral cortices. The Bohr frequency for the magnitude of the quantum associated with the removal of one nucleus from another is within the range of the width of synapse (~1 µm) while the recoil energy from a rest mass photon is equivalent to the energy produced by the entire field of dynamic neurons per second. The intrinsic energy (10 -20 J) associated with each action potential is similar to the gravitational potential energy from Planck’s mass applied across 1 µm. Both the endogenous cerebral magnetic field strength which is similar in magnitude to intergalactic intensities and the interaction between weak geomagnetic variations and the cerebrum’s electric dipole current are associated with photon flux densities in the order (10 -11 W∙m -2 ) that have been measured in the laboratory. The perspective of the human cerebral volume as a field of foci of photon quanta offers different perspectives for the intrinsic nature of consciousness and cognition and their influence by phenomena from astronomical origins.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.174

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.254
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it