Ca<sup>2+</sup>‐dependent K<sup>+</sup>currents and spike‐frequency adaptation in medial entorhinal cortex layer II stellate cells
Bibliographic record
Abstract
The entorhinal cortex (EC), located in the medial temporal lobe (MTL) of the brain, plays an important functional role in the MTL memory circuit. Medial EC (MEC) Layer II stellate cells (SCs) serve as one of the most prominent target cell types within the EC for inputs arising from higher cortical areas, and these same cells provide most of the output from the EC to the hippocampal region. We used the whole-cell patch clamp technique in a rat in vitro slice preparation to test whether SCs express afterhyperpolarization (AHP) currents and if these currents can be modulated. Our results revealed that SCs contain medium (mI(K(Ca))) and slow (sI(AHP)) Ca(2+)-dependent K(+) currents. Furthermore, we determined that an apamin-sensitive current does not underlie the mAHP in SCs. Our studies also showed that a cAMP-dependent modulation process significantly reduces mI(K(Ca)), sI(AHP), and spike-frequency adaptation in MEC Layer II SCs. Modulation of the firing pattern of SCs resulting from this effect may play an important role in the encoding of information related to memory processes.
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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".