GABAergic modulation of neocortical long-term potentiation in the freely moving rat
Bibliographic record
Abstract
Although the neocortex has generally been considered resistant to the induction of long-term potentiation (LTP), we have recently shown that LTP can be reliably induced in the freely moving rat provided that the stimulation sessions are spaced and repeated. Here, we report that the induction of LTP in this preparation can be modulated by both GABAergic agonism and antagonism. The delivery of stimulation trains in the presence of the GABA(A) agonist diazepam blocked the induction of neocortical LTP, while the GABA(A) antagonist picrotoxin slowed the development of potentiation. When animals that had previously received high-frequency stimulation combined with diazepam were repotentiated, they showed greater resistance to LTP induction than animals that had received diazepam alone. These data suggest that the inhibitory circuits themselves may have potentiated. The demonstration that diazepam blocks neocortical LTP provides further support for the notion that LTP plays a role in memory formation.
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 | 0.001 |
| 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".