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Record W1766235807 · doi:10.3758/bf03331990

Dorsal and ventral hippocampus: Same or different?

2000· article· en· W1766235807 on OpenAlexaff
Janina Ferbinteanu, Robert J. McDonald

Bibliographic record

VenuePsychobiology · 2000
Typearticle
Languageen
FieldNeuroscience
TopicMemory and Neural Mechanisms
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyNeuroscienceConditioningDorsumDissociation (chemistry)Discriminative modelLesionContext (archaeology)Spatial learningCognitive psychologyHippocampusAnatomyArtificial intelligenceChemistryBiologyComputer science

Abstract

fetched live from OpenAlex

Previous work has suggested that the hippocampus (HPC) is not a functionally homogenous structure, because lesions of the septal pole have been found to produce more of a deficit in spatial navigation. To investigate whether this dissociation extends to configural-relational learning, we tested rats with dorsal or ventral HPC lesions in a modified version of the Morris water task and in a discriminative context-conditioning paradigm. Results indicated that dorsal HPC lesions were more efficient in impairing performance in the spatial navigation task but that ventral HPC lesions also had some effect. However, no differences between groups were found in the nonspatial context-conditioning task. Both lesion groups acquired discriminative freezing at a rate identical to that of the controls, but lesioned animals could not acquire preference for the safe environment even after three pairings with shock. Thus, comparison of multiple cues with different emotional valence requires integration along the septotemporal axis of the HPC. Reviewing previous studies, we conclude that although the dorsal HPC pole is more efficient than the ventral in supporting spatial navigation, the dissociation is not absolute. We also hypothesize that physiological activity along the longitudinal axis of the HPC might have particular behavioral relevance. Theoretical implications of this hypothesis are considered.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.998

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)0.0030.000

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 head0.073
GPT teacher head0.327
Teacher spread0.254 · 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 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

Citations42
Published2000
Admission routes1
Has abstractyes

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