Hilar mossy cells regulate the activity of hippocampal dentate gyrus circuitry in a frequency-dependent manner
Bibliographic record
Abstract
Mossy cells (MCs) are glutamatergic neurons within the hippocampal dentate gyrus (hDG). They are implicated in key roles of the hDG, such as context discrimination and spatial memory. Our aim was to stimulate the hDG at physiological frequencies associated with spatial memory and determine how MCs regulate this circuitry. We recorded excitatory postsynaptic potentials (EPSPs) induced in dentate granule cells (GCs) bymedial perforant pathway (MPP) stimulationin acute hippocampal slices from wildtype (WT) mice and genetically-modified mice that lack MCs. We found the absence of MCs increased the excitability of GCs to MPP stimulation at 20Hz and 50Hz but not at 5Hz. These results were recapitulated in WT slices by the application of type 1 cannabinoid receptor agonist WIN 55,212-2 that selectively blocks glutamate release at MC-GC synapses. These results suggest that MCs regulate GC responses to MPP stimulation at frequencies relevant to spatial memory processing in the hDG.
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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) | 0.004 | 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".