Afferent‐specific properties of interneuron synapses underlie selective long‐term regulation of feedback inhibitory circuits in CA1 hippocampus
Bibliographic record
Abstract
Hebbian long-term potentiation (LTP) develops at specific synapses onto hippocampal CA1 oriens/alveus interneurons (OA-INs), suggesting selective regulation of distinct input pathways. Afferent-specific properties at interneuron synapses have been characterized extensively in CA3 stratum lucidum cells, but given interneuron diversity these rules of transmission and plasticity may not hold in other interneuron types. Here, we used paired recordings and demonstrate that CA2/3 pyramidal cell (PC) feedforward and CA1 PC feedback synapses onto OA-INs show distinct AMPA receptor rectification and Ca(2+) permeability, short-term plasticity and mGluR2/3-mediated inhibition. Only feedback synapses undergo Hebbian LTP. OA-IN firing during repeated synaptic stimulation displays onset-transient or late-persistent responses consistent with activation of feedforward and feedback inputs, respectively. Input-output functions are preserved after theta-burst stimulation, but late-persistent responses selectively show mGluR1-dependent long-term increases. Thus, cell type- and afferent-specific rules of transmission and plasticity underlie distinct OA-IN input-output functions, providing selective long-term regulation in feedback inhibitory networks.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".