Excitatory Amino Acid Neurotransmitter Regulation
Bibliographic record
Abstract
Individual synapses vary enormously in their biochemical properties and functionality. The neurotransmitters released, the receptors activated, and the ensuing physiological responses are all variable, and susceptible to modification through a variety of mechanisms. The regulation of neurotransmitter receptors is a central mechanism by which the signaling properties of a synapse and a cell may be controlled. Excitatory neurotransmitter receptors are primarily localized to the postsynaptic dendritic compartment, anchored within the postsynaptic density (PSD). In their lifetime, receptors are subject to alternative splicing, differential sorting and compartmentalization. Moreover, these processes are influenced by activity driven protein trafficking, post-translational modifications and interaction with an overwhelmingly increasing number of proteins enriched at excitatory synapses. The diverse repertoire of regulatory mechanisms contributes to the amazing heterogeneity of synapse morphology and function in the central nervous system. Changes in receptor trafficking has been also implicated in shaping synaptic activity and plasticity, and defects in these processes may underlie several pathological states.
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.008 |
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".