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Record W1988302804 · doi:10.3109/00207450009003253

Application Timing of Complex Magnetic Fields Delineates Windows of Posttraining- Pretesting Vulnerability for Spatial and Motivational Behaviors in Rats

2000· article· en· W1988302804 on OpenAlexaff
Bruce E. McKay, Michael A. Persinger

Bibliographic record

VenueInternational Journal of Neuroscience · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicElectromagnetic Fields and Biological Effects
Canadian institutionsLaurentian University
Fundersnot available
KeywordsSession (web analytics)PsychologyHippocampal formationAudiologyHippocampusAntecedent (behavioral psychology)Long-term potentiationTask (project management)Affect (linguistics)NeuroscienceMedicineDevelopmental psychologyComputer scienceCommunicationInternal medicine

Abstract

fetched live from OpenAlex

Male Wistar rats were trained in a two-session-per-day, non-matching-to-sample radial maze task. During the 2 hr interval between training sessions and testing sessions subjects were exposed for 60 min to either sham fields or to a low intensity (200 to 500 nT) electromagnetic (EM) complex pattern whose electrical (current) equivalent has been shown to elicit long-term potentiation (LTP) in hippocampal slices. This pattern was applied either immediately following the training sessions or immediately antecedent to the testing sessions. Exposures to the experimental field immediately following the training session were associated with an impairment in spatial memory as inferred by increased commissions of reference errors. Exposures immediately prior to the testing session were associated with decreased motivation as inferred by a reduction in speed of responding. These results suggest that the timing of the presentation of patterned magnetic fields may differentially affect the representations of habit strength and drive within the consolidating memory trace.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.708
Threshold uncertainty score0.171

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)0.0000.000

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 head0.027
GPT teacher head0.311
Teacher spread0.284 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations22
Published2000
Admission routes1
Has abstractyes

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