Increased GABAergic activity in the region of the pedunculopontine and deep mesencephalic reticular nuclei reduces REM sleep and impairs learning in rats.
Bibliographic record
Abstract
Newly formed memories are initially fragile and require consolidation to be transformed into an enduring state. Memory consolidation may occur during increased postlearning REM sleep. REM deprivation during these periods (termed REM sleep windows [RSWs]) impairs subsequent performance. The pedunculopontine nucleus (PPT) and adjacent deep mesencephalic reticular nuclei (DpMe) have been implicated in the generation of REM sleep. Following 24-hr baseline recording, rats were trained on the 2-way avoidance task for 50 trials/day over 2 days and retested on Day 3. EEG was recorded 22 hr after training on training Days 1 and 2. Rats were injected with the GABAB agonist baclofen or saline into the PPT/DpMe region at 0300 to coincide with the start of a known RSW. Based on shuttle performance, saline rats were assigned post hoc to a learning group (LG) that avoided the footshock at least 60% at retest or nonlearning group (NLG) that performed below this criterion. Baclofen-injected rats were not assigned post hoc into separate groups as all rats performed below the learning criterion. PPN/DpMe infusions of the inhibitory GABAB agonist baclofen decreased REM and impaired subsequent memory performance. Normal GABAergic transmission in the PPN/DpMe may be necessary for REM to occur and for the consolidation of incentive learning.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".