Effective release rates at single rat Schaffer collateral–CA1 synapses during sustained theta‐burst activity revealed by optical imaging
Bibliographic record
Abstract
To understand how information is coded at single hippocampal synapses during high-frequency activity, we imaged NMDA receptor-mediated Ca(2+) responses in spines of CA1 neurons using two-photon microscopy. Although discrete quantal events were not readily apparent during continuous theta-burst stimulation (TBS), we found that the steady-state dendritic Ca(2+) response was spatially restricted (half-width < 1 microm), voltage dependent and sensitive to MK-801, indicating that that it was mediated by activation of NMDA receptors at single synapses. Partial antagonism of NMDA receptors caused a similar reduction of NMDA EPSCs (measured at the soma) and local dendritic Ca(2+) signals, suggesting that, like EPSCs, the steady-state Ca(2+) signal was made up of a linear addition of quantal events. Statistical analyses of the steady-response suggested that the quantal size did not change dramatically during TBS. Deconvolution of TBS-evoked Ca(2+) responses revealed a heterogeneous population of synapses differing in their capacity to signal high-frequency information, with an average effective steady-state release rate of approximately 2.6 vesicles synapse(-1)s(-1). To assess how the optically determined release rates compare with population measures we analysed the rate of decay of peak EPSCs during train stimulation. From these studies, we estimated a unitary vesicular replenishment rate of 0.02 s(-1), which corresponds to an average release rate of approximately 0.8-2 vesicles s(-1) at individual synapses. Additionally, extracellular recordings from single Schaffer collaterals revealed that spikes propagate reliably during TBS. Hence, during high-frequency activity, Schaffer collaterals conduct spikes with high fidelity, but release quanta with relatively lower efficiency, leaving NMDA receptor function largely intact and synapse specific. Heterogeneity in release rates between synapses suggests that similar patterns of presynaptic action potentials could trigger different forms of plasticity at individual synapses.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
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 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".