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Record W2972819002 · doi:10.1002/hipo.23157

Place navigation in the Morris water task results in greater nuclear <i>Arc</i> mRNA expression in dorsal compared to ventral CA1

2019· article· en· W2972819002 on OpenAlexafffund
J. Quinn Lee, Aubrey M. Demchuk, Erik Morgan, Rebecca McHugh, Bruce L. McNaughton, Robert J. Sutherland, Robert J. McDonald

Bibliographic record

VenueHippocampus · 2019
Typearticle
Languageen
FieldNeuroscience
TopicMemory and Neural Mechanisms
Canadian institutionsUniversity of Lethbridge
FundersNatural Sciences and Engineering Research Council of CanadaDefense Advanced Research Projects AgencyCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada
KeywordsHippocampal formationNeuroscienceArc (geometry)Context (archaeology)Morris water navigation taskDorsumHippocampusSpatial contextual awarenessPsychologyAnatomyBiologyComputer scienceArtificial intelligenceMathematicsGeometry

Abstract

fetched live from OpenAlex

Previous work has shown that the dorsal hippocampus has greater activity than ventral regions during place navigation. Exposure to a novel context has also been found to increase hippocampal activation, possibly due to increased spatial demands. However, activation patterns in dorsal and ventral regions have not been investigated in the Morris water task (MWT), which remains the most popular assay of place memory in rodents. We measured activity in a large population of neurons across the CA1 dorsal-ventral axis by estimating nuclear Arc mRNA with stereologic systematic-random sampling procedures following changes to goal location or spatial context in the MWT in rats. Following changes to goal location or spatial context in the MWT, we did not find an effect on Arc mRNA expression in CA1. However, Arc expression was greater in the dorsal compared to the ventral aspect of CA1 during task performance. Several views might account for these observed differences in dorsal-ventral Arc mRNA expression, including task parameters or the granularity of representation that differs along the dorsal-ventral hippocampal axis. Future work should determine the effects of task differences and required memory precision in relation to dorsal-ventral hippocampal neuronal activity.

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 score0.009
Threshold uncertainty score0.793

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.036
GPT teacher head0.271
Teacher spread0.235 · 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

Citations10
Published2019
Admission routes2
Has abstractyes

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