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NMDA-mediated social learning of fear-induced conditioned analgesia to biting flies

2001· article· en· W2022832787 on OpenAlexaff
M. Kavaliers, Douglas D. Colwell, Elena Choleris

Bibliographic record

VenueNeuroreport · 2001
Typearticle
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsAgriculture and Agri-Food CanadaWestern University
Fundersnot available
KeywordsBitingNMDA receptorStomoxysPsychologyOpiateAntagonistNeuroscienceAnesthesiaDevelopmental psychologyBiologyMedicineReceptorInternal medicineMuscidaeZoologyEcology

Abstract

fetched live from OpenAlex

Although fear conditioning has received extensive neurobiological attention little is known about social learning whereby one individual may learn and acquire the fear responses of another. A 30 min exposure to intact biting flies (stable fly, Stomoxys colcitrans L.) elicits in individual fly-naive mice analgesia and active self burying responses to avoid the flies. Fly-naive observer mice that witnessed other demonstrator mice being attacked by biting flies exhibited analgesia and self-burying to avoid flies when exposed 24 h later to altered flies whose biting mouth parts were removed. The opiate antagonist naloxone, while reducing the analgesic responses elicited by exposure to a fly-stressed demonstrator, did not affect either the subsequent conditioned analgesia or self-burying. However, the specific NMDA receptor antagonist NPC 12626, given to observers prior to, but not after, presentation of fly attacked demonstrators blocked the socially determined conditioned analgesia and self burying avoidance. This supports NMDA involvement in the mediation of the social transmission and long-term (24h) retention of conditioned analgesia and fear.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.448
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.054
GPT teacher head0.363
Teacher spread0.309 · 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 designObservational
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

Citations21
Published2001
Admission routes1
Has abstractyes

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