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GABAergic modulation of neocortical long-term potentiation in the freely moving rat

2000· article· en· W2084785111 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSynapse · 2000
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsLong-term potentiationNeuroscienceLTP inductionGABAA receptorNeocortexGABAergicStimulationPicrotoxinBicucullineSynaptic plasticityDiazepamInhibitory postsynaptic potentialGABA receptor antagonistPsychologyPharmacologyBiologyMedicineExcitatory postsynaptic potentialReceptorInternal medicine

Abstract

fetched live from OpenAlex

Although the neocortex has generally been considered resistant to the induction of long-term potentiation (LTP), we have recently shown that LTP can be reliably induced in the freely moving rat provided that the stimulation sessions are spaced and repeated. Here, we report that the induction of LTP in this preparation can be modulated by both GABAergic agonism and antagonism. The delivery of stimulation trains in the presence of the GABA(A) agonist diazepam blocked the induction of neocortical LTP, while the GABA(A) antagonist picrotoxin slowed the development of potentiation. When animals that had previously received high-frequency stimulation combined with diazepam were repotentiated, they showed greater resistance to LTP induction than animals that had received diazepam alone. These data suggest that the inhibitory circuits themselves may have potentiated. The demonstration that diazepam blocks neocortical LTP provides further support for the notion that LTP plays a role in memory formation.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.410
Threshold uncertainty score0.405

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.332
Teacher spread0.289 · 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