Dopamine D1/D5 Receptors Contribute to De Novo Hippocampal LTD Mediated by Novel Spatial Exploration or Locus Coeruleus Activity
Bibliographic record
Abstract
The neurons of the locus coeruleus (LC) fire in response to novelty, and LC activation coupled with hippocampal afferent stimulation leads to long-term depression (LTD). The encoding of novel spatial information also involves activation of dopamine D1/D5 receptors. It is unclear if, or how, the noradrenergic and dopaminergic systems interact mechanistically in processing novelty. Novel spatial exploration when coupled with Schaffer collateral (SC) test-pulse stimulation results in short-term depression at SC-CA1 synapses, which is not observed in the absence of afferent stimulation. However, activation of D1/D5 receptors under these conditions without concomitant afferent stimulation enables slow-onset depression. LTD (>24 h) is facilitated when novel exploration occurs concurrently with low-frequency stimulation of CA1. Effects are not improved by a D1/D5 agonist. Facilitation of LTD (>4 h) by coupling LC stimulation with CA1 test-pulse stimulation was blocked by a D1/D5 antagonist, however, as was habituation to the holeboard environment. Novel spatial learning during LC stimulation did not enhance LTD further, whereas D1/D5 agonist treatment enabled LTD to persist for over 24 h. These data suggest that the regulation of hippocampal LTD by the LC is supported by D1/D5 receptors and that their contribution to information storage becomes important when the thresholds for persistent LTD have not been reached.
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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) | 0.001 | 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".