Functional dissociation between dorsal and ventral regions of the medial prefrontal cortex in rats
Bibliographic record
Abstract
In order to investigate the respective roles of dorsal and ventral parts of the medial prefrontal cortex (mPFC) on a delayed alternation task, the acquisition of which is disrupted by large mPFC lesions (Winocur, 1991), rats with circumscribed lesions to the anterior cingulate (ACd) or the prelimbicinfralimbic (PL-IL) cortex were compared. As was predicted, ACd lesions severely impaired performance, and an analysis of the results suggests an involvement of this region in sequencing temporally ordered behavior. On the other hand, PL-IL lesions had no effect, a finding that was in contrast with previous evidence that PL-IL lesions induced delay-dependent deficits on a similar task (Delatour & Gisquet-Verrier, 1999). However, an important difference between the tasks related to the scheduling of critical delays. Whereas in the previous experiment, delay intervals were increased progressively in a block design, variable intertrial intervals were a constant feature of training in the present Experiment 1. In Experiment 2, rats with PL-IL lesions were administered Delatour and Gisquet-Verrier’s (1999) alternation task, but modified to incorporate Winocur’s (1991) variable-interval procedure that required less response adjustment. Under these conditions, the PL-IL group performed normally, as in Experiment 1. Taken together, the results provide evidence that the PL-IL cortex is implicated in processes that support attentional mechanisms and behavioral flexibility. Overall, the present results support the general hypothesis of subregionalization of mPFC functions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".