Reshaping neuron–glial communication at hippocampal synapses
Bibliographic record
Abstract
Neuron-glial interactions in the nervous system are of fundamental importance to many processes including neural migration,axon guidance, myelination and synaptic transmission. At synapses in the CNS, the physiological and structural relationship between neurons and astrocytes is particularly complex. The juxtaposition of astrocytic membranes with presynaptic and postsynaptic elements is important for regulating synaptic transmission and plasticity. Recent investigations demonstrate that the morphology of both neuronal and glial components show rapid, continuous structural remodeling in the hippocampus.These physical modifications are likely to have a significant functional impact upon neurotransmission and indicate that there modeling of astrocytic morphology might be crucial for the dynamic regulation of the synapse and its microenvironment. In this review, we focus on the structural complexities of astrocyte-synapse interactions in the hippocampus and their implications for understanding synaptic physiology, behavior and disease.
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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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".