Double dissociation of learned approach–avoidance conflict processing and spatial pattern separation along the dorsoventral axis of the dentate gyrus
Bibliographic record
Abstract
The ventral portion of the rodent hippocampus (HPC; anterior in primates) has been implicated in the detection and resolution of approach-avoidance conflict, which arises when an organism encounters a stimulus that predicts both positive and negative outcomes. Previous work has found differential regulation of approach-avoidance conflict behavior by the CA3 and CA1 subfields, with inhibition of ventral CA3 increasing approach toward conflicting stimuli and inhibition of the ventral CA1 potentiating avoidance. Here, we sought to extend these findings by investigating the role of the dentate gyrus (DG), the input region of the HPC, in learned approach-avoidance conflict processing in rats. Animals were first trained to acquire three different visuotactile cue-outcome associations in separate arms of a Y-maze (appetitive, aversive, and neutral). Postacquisition, they were administered a "conflict test," in which they were presented with a choice between exploring an arm in which the appetitive and aversive cues were concurrently presented (conflict stimulus), and another arm containing the neutral stimulus. GABAR-mediated inactivation of the ventral DG, but not dorsal DG, potentiated approach behavior toward the conflict stimulus, similar to the effects of ventral CA3 inactivation. In contrast, dorsal DG, but not ventral DG, inactivation was found to impair performance on a metric spatial discrimination task, which is commonly used as a test of pattern separation. The findings of this study demonstrate a robust double dissociation between the ventral and dorsal aspects of the DG, in line with previous reports of functional differences along the longitudinal axis of the HPC.
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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 | 0.000 |
| 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".