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Record W2111820153 · doi:10.3846/13926292.2014.980865

MODELING CALCIUM DYNAMICS AND INHIBITION BASED SYNAPTIC PLASTICITY IN DENDRITIC SPINES

2014· article· en· W2111820153 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.

Bibliographic record

VenueMathematical Modelling and Analysis · 2014
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsInhibitory postsynaptic potentialPostsynaptic potentialNeuroscienceSynaptic plasticityDendritic spinePostsynaptic densityMetaplasticityNonsynaptic plasticitySynaptic augmentationChemistryExcitatory postsynaptic potentialBiologyReceptorBiochemistry

Abstract

fetched live from OpenAlex

Inhibitory synapses through GABAergic channels not only change spine's calcium dynamics but also modulate postsynaptic current mediated through glutamate receptors. However the mechanism and extent to which these inhibitory synapses can modulate postsynaptic potential is not clearly understood. We propose a mathematical model to explain this phenomenon which encompasses both presynaptic and postsynaptic mechanisms. Further this model also elaborates the effect of these channels in synaptic calcium dynamics and learning mechanism.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score0.478

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 head0.064
GPT teacher head0.319
Teacher spread0.255 · 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