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Record W2076104964 · doi:10.1002/dev.20480

Cued platform training reveals early development of directional responding among preweanling rats in the Morris water task

2010· article· en· W2076104964 on OpenAlexaff
Katherine G. Akers, Felicha T. Candelaria‐Cook, James P. Rice, Travis E. Johnson, Derek A. Hamilton

Bibliographic record

VenueDevelopmental Psychobiology · 2010
Typearticle
Languageen
FieldNeuroscience
TopicMemory and Neural Mechanisms
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsCued speechSpatial learningPsychologySensory cueTask (project management)Morris water navigation taskAudiologyCommunicationCognitive psychologyNeuroscienceCognitionMedicine

Abstract

fetched live from OpenAlex

Previous studies on the ontogeny of spatial learning report that rats younger than 19-21 days of age are incapable of learning the location of a platform relative to distal cues in the Morris water task. Here, we manipulated the spatial relationship of a cued platform to the pool and the distal visual room cues to investigate whether distal cues can control navigation among 16- to 24-day-old rats. Rats were trained to navigate to a cued platform in a rich distal cue environment. During critical test trials, the pool was shifted to a different, overlapping position and the cued platform was placed either in the same absolute location in the room or the same relative location in the pool as during training. Rats aged 17 days and older exhibited a disruption in performance when the cued platform was in the absolute location but not the relative location, indicating that rats had learned the direction of the cued platform within the distal cue environment. These observations indicate that (1) information acquired from distal room cues influences navigation as early as 17 days of age, (2) this distal cue information is preferentially used to guide navigation in a particular direction rather than to a precise place in the room, and (3) the directional nature of the influence of distal cues on navigation is invariant across development.

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)0.001
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 score0.030
Threshold uncertainty score0.597

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.001
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 head0.117
GPT teacher head0.324
Teacher spread0.207 · 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

Citations17
Published2010
Admission routes1
Has abstractyes

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