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Spatial conditional associative learning: effects of thalamo-hippocampal disconnection in rats

2004· article· en· W1987767312 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

VenueNeuroreport · 2004
Typearticle
Languageen
FieldNeuroscience
TopicMemory and Neural Mechanisms
Canadian institutionsMcGill University
Fundersnot available
KeywordsNeuroscienceHippocampusHippocampal formationSpatial memoryPsychologyContext (archaeology)Spatial learningAssociative learningDisconnectionThalamusCognitive psychologyWorking memoryCognitionBiology

Abstract

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Unilateral lesions to the anterior thalamic nuclei (ATN) and the hippocampus (H) were made in opposite hemispheres in the rat to examine whether these brain structures form part of a functional neural pathway underlying spatial learning and memory. In the first experiment, rats were tested on a spatial-visual conditional associative task in which they had to learn to approach one of two stimuli depending on the spatial context in which the stimuli were embedded. The rats were subsequently trained on delayed forced alternation, a spatial working memory task known to be sensitive to the effects of ATNxH damage. Rats with ATNxH lesions were impaired in the acquisition of both tasks in comparison with normal control animals. The findings support the idea that the anterior thalamic nuclei and the hippocampus are critical components of an anatomical system subserving spatial memory and suggest that these brain regions work in a dependent fashion during the performance of certain spatial learning tasks.

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)0.002
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 score0.053
Threshold uncertainty score0.549

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.038
GPT teacher head0.297
Teacher spread0.259 · 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