Dissipationless Transfer of Visual Information From Retina to the Primary Visual Cortex in the Human Brain
Bibliographic record
Abstract
Abstract Recently, the experiments on photosynthetic systems via “femto-second laser spectroscopy” methods have indicated that a “quantum-coherence” in the system causes a highly efficient transfer of energy to the “reaction center” (efficiency is approximately equal to 100%). A recent experiment on a single neuron has indicated that it can conduct light. Also, a re-emission of light from both photosynthetic systems and single neurons has been observed, which is called “delayed luminescence”. This can be supposed as a possibility for dissipationless transfer of visual information to the human brain. In addition, a long-range Fröhlich coherence in microtubules can be a candidate for efficient transfer of light through “noisy” and complex structures of the human brain. From an informational point of view it is a legitimate question to ask how human brain can receive subtle external quantum information of photons intact when photons are in a quantum superposition and pass through very noisy and complex pathways from the eye to the brain? Here, we propose a coherent model in which quantum states of photons can be rebuilt in the human brain.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".