Bibliographic record
Abstract
Abstract Information is coded in the brain as patterns of electrical impulses that are transmitted along nerve processes. These impulses are passed from one neuron to the next primarily at chemical synapses where the electrical event is converted to the release of a neurotransmitter substance that activates the next neuron in the pathway. Neurotransmitter release is triggered by the opening of ‘voltage‐sensitive’ calcium channels, the admission of a small pulse of Ca 2+ ions and the binding of these ions to the neurotransmitter secretion apparatus culminating in the fusion and discharge of a transmitter‐filled secretory vesicle. Increasing evidence suggests that most synapses an individual release site is gated by ion influx through one or more nearby calcium channels. In this section, we explore the physiology of this impulse‐to‐secretion gating mechanism. Key Concepts Information is transmitted between one neuron and the next at synapses where the nerve fibre terminal of the upstream (presynaptic) neuron contacts the surface membrane of the downstream (postsynaptic) one. Most synapses transmit by secreting a chemical neurotransmitter across the narrow space between pre‐ and postsynaptic surface membranes. Transmitter secretion is triggered by an electrical impulse that travels down the presynaptic nerve fibre to the terminal. Neurotransmitter is stored in tiny membrane ‘packets’ called synaptic vesicles which can be triggered to secrete by fusing with the presynaptic membrane at the ‘transmitter release site’. The synaptic vesicles are ‘docked’ at the release site ready for secretion. Influx of calcium ions through selective voltage‐sensitive ion channels (calcium channels) plays a key role to link the action potential to the triggering of secretory vesicle discharge. Calcium channels are positioned very close to the secretory vesicles so that when they open the spurt of entering calcium ions, called a ‘calcium domain’, can rapidly and effectively access the triggering sites for synaptic vesicle fusion.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".