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Metabotropic glutamate receptors contribute to neocortical synaptic plasticity in vivo

2004· article· en· W1974772110 on OpenAlexaff
Michael J. Eckert, Ronald J. Racine

Bibliographic record

VenueNeuroreport · 2004
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMetabotropic glutamate receptorNeuroscienceLong-term depressionSynaptic plasticityLong-term potentiationNeocortexHippocampusLTP inductionGlutamate receptorMetaplasticitySynaptic scalingBiologyPsychologyExcitatory postsynaptic potentialReceptorInhibitory postsynaptic potentialAMPA receptor

Abstract

fetched live from OpenAlex

Metabotropic glutamate receptors (mGluRs) have been shown to be important for hippocampus-dependent memory, as well as activity-dependent synaptic plasticity in the hippocampus. In this study, we examined the role of mGluRs in the induction of two forms of activity-dependent synaptic plasticity, long-term potentiation (LTP) and long-term depression (LTD), in the neocortex of awake, freely-moving rats. The mGluR antagonist AIDA was administered during the induction of LTP or LTD in the motor cortex. There was a 50% reduction of LTP induced in the early component of the evoked response, but there was no effect on the late component and no effect on the induction of LTD. Thus, mGluRs contribute to at least one form of activity dependent synaptic plasticity in the neocortex.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.042
GPT teacher head0.336
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2004
Admission routes1
Has abstractyes

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