Graded remapping of prefrontal representations preserves a cumulative record of distinct events within an environment
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".