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Record W2013335663 · doi:10.1002/dneu.20380

Time‐dependent postsynaptic AMPA GluR1 receptor recruitment in the cingulate synaptic potentiation

2007· article· en· W2013335663 on OpenAlex
Hiroki Toyoda, Long‐Jun Wu, Ming Zhao, Hui Xu, Min Zhuo

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.

Bibliographic record

VenueDevelopmental Neurobiology · 2007
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAMPA receptorLong-term potentiationPostsynaptic potentialNeuroscienceBiologySynaptic plasticityExcitatory postsynaptic potentialPost-tetanic potentiationSynaptic augmentationNMDA receptorInhibitory postsynaptic potentialReceptor

Abstract

fetched live from OpenAlex

The anterior cingulate cortex (ACC) is critical for brain functions including learning, memory, fear and pain. Long-term synaptic potentiation (LTP), a cellular model for learning and memory, has been reported in the ACC neurons. Unlike LTP in the hippocampus and amygdala, two key structures for memory and fear, little is known about the synaptic mechanism for the expression of LTP in the ACC. Here we use whole-cell patch clamp recordings to demonstrate that cingulate LTP requires the functional recruitment of GluR1 AMPA receptors; and such events are rapid and completed within 5-10 min after LTP induction. Our results demonstrate that the GluR1 subunit is essential for synaptic plasticity in the ACC and may play critical roles under physiological and pathological conditions.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.030
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.065
GPT teacher head0.329
Teacher spread0.264 · 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