High sensitivity of spontaneous spike frequency to sodium leak current in a <i>Lymnaea</i> pacemaker neuron
Bibliographic record
Abstract
Abstract The spontaneous rhythmic firing of action potentials in pacemaker neurons depends on the biophysical properties of voltage‐gated ion channels and background leak currents. The background leak current includes a large K+ and a small Na+ component. We previously reported that a Na+‐leak current via U‐type channels is required to generate spontaneous action potential firing in the identified respiratory pacemaker neuron, RPeD1, in the freshwater pond snail Lymnaea stagnalis. We further investigated the functional significance of the background Na+ current in rhythmic spiking of RPeD1 neurons. Whole‐cell patch‐clamp recording and computational modeling approaches were carried out in isolated RPeD1 neurons. The whole‐cell current of the major ion channel components in RPeD1 neurons were characterized, and a conductance‐based computational model of the rhythmic pacemaker activity was simulated with the experimental measurements. We found that the spiking rate is more sensitive to changes in the Na+ leak current as compared to the K+ leak current, suggesting a robust function of Na+ leak current in regulating spontaneous neuronal firing activity. Our study provides new insight into our current understanding of the role of Na+ leak current in intrinsic properties of pacemaker neurons.
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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 | 0.000 |
| 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 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".