Calcineurin-Mediated LTD of GABAergic Inhibition Underlies the Increased Excitability of CA1 Neurons Associated with LTP
Bibliographic record
Abstract
Coincident pre- and postsynaptic activity generates long-term potentiation (LTP), a possible cellular model of learning and memory. LTP has two components: (1) an increase in the excitatory postsynaptic potential (EPSP), and (2) an increase in the ability of the EPSP to generate a spike (E-S coupling of LTP). We have used pharmacological and genetic approaches to address the molecular nature of E-S coupling in CA1 pyramidal neurons. Blockade of the Ca2+-sensitive phosphatase, calcineurin, prevents induction of E-S coupling without interfering with LTP of the EPSP. Calcineurin produces its effect on E-S coupling by inducing a long-lasting depression (LTD) of the GABA(A)-mediated inhibitory postsynaptic potentials (IPSPs). This LTD of the IPSP was prevented by blockade of NMDA receptors. Thus, the tetanus that elicits NMDA-dependent LTP mediates a coordinately regulated double function. It produces LTP of the EPSP and, concomitantly, LTD of the IPSP that leads to enhancement of E-S coupling.
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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".