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Record W4411634951 · doi:10.1016/j.isci.2025.113009

Graded remapping of prefrontal representations preserves a cumulative record of distinct events within an environment

2025· article· en· W4411634951 on OpenAlexafffund
Y.K. Chen, Gaqi Tu, Li Zhang, Kaori Takehara‐Nishiuchi

Bibliographic record

VenueiScience · 2025
Typearticle
Languageen
FieldNeuroscience
TopicMemory and Neural Mechanisms
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaCanada Foundation for Innovation
KeywordsCognitive psychologyCognitive sciencePsychologyEvolutionary biologyNeuroscienceBiology

Abstract

fetched live from OpenAlex

Motivationally significant events, such as rewards and threats, modify neural representations of the environment where they occur. The medial prefrontal cortex (mPFC) forms map-like representations anchored to these events. Using miniscope calcium imaging, we investigated how unexpected threats affected mPFC cell activity in mice, navigating a familiar path toward rewards. The introduction of threats increased the density of active cells near the threat location and triggered the emergence of a distinct population activity pattern that spanned the entire path. Notably, the difference between the new and original patterns was greater in the path segment leading to the new threats than in the segment leading to the existing rewards. This differentiation persisted during the subsequent learning of threat probabilities but ceased upon completion. Thus, event-induced remapping of mPFC population activity is scaled by the proximity to new events, enabling seamless integration of new events into the mental map of familiar environments.

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)0.001
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 score0.043
Threshold uncertainty score0.340

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.130
GPT teacher head0.356
Teacher spread0.226 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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