NMDA Receptor-Dependent Long-Term Synaptic Depression in the Entorhinal Cortex In Vitro
Bibliographic record
Abstract
The entorhinal cortex receives a large projection from the piriform (primary olfactory) cortex and, in turn, provides the hippocampal formation with most of its cortical sensory input. Synaptic plasticity in this pathway may therefore affect the processing of olfactory information and memory encoding. We have recently found that long-term synaptic depression (LTD) can be induced in this pathway in vivo by repetitive paired-pulse stimulation but not by low-frequency (1 Hz) stimulation with single pulses. Here, we have used field potential recordings to investigate the stimulation parameters and transmitter receptors required for the induction of LTD in the rat entorhinal cortex in vitro. The effectiveness of low-frequency stimulation (900 pulses at 1 or 5 Hz) and repeated delivery of pairs of stimulation pulses (30-ms interpulse interval) was assessed. Only repeated paired-pulse stimulation resulted in lasting LTD, and a low-intensity paired-pulse stimulation protocol that induces LTD in vivo was only effective in the presence of the GABA(A) receptor antagonist bicuculline (50 microM). LTD could also be induced in normal ACSF, however, by increasing the number of pulse-pairs delivered and by increasing the stimulation intensity during LTD induction. The induction of LTD was blocked by constant bath application of the N-methyl-d-aspartate (NMDA) glutamate receptor antagonist d-2-amino-5-phosphonovalerate (50 microM), indicating that LTD is dependent on NMDA receptor activation. However, LTD was not blocked by the group I/II mGluR antagonist (RS)-alpha-ethyl-4-carboxyphenylglycine (500 microM) or by bicuculline (50 microM). The induction of LTD in the entorhinal cortex in vitro is therefore dependent on intense stimulation that recruits activation of NMDA receptors, but does not require concurrent activation of mGluRs or inhibitory synaptic inputs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".