Anxiety and Beyond: Diversity in Ventral Hippocampus Circuits and Function
Bibliographic record
Abstract
The ventral hippocampus (vHPC), initially implicated in anxiety regulation, is now recognized for its broader role in integrating emotional, motivational, and contextual information. This review synthesizes recent insights from rodent research presented at our 2025 Society for Neuroscience minisymposium, detailing how local inhibitory microcircuits, long-range projection-defined pathways, and neuromodulatory inputs interact to shape fear, anxiety, and reward behaviors. We emphasize how distinct circuits segregate fear and anxiety, resolve approach-avoidance conflicts, and integrate reward history. Serotonergic modulation, particularly from the median raphe, emerges as a critical regulator of vHPC dynamics, with pronounced sex-specific functional implications. Finally, we examine how vCA1 ensemble activity encodes emotionally salient stimuli and supports latent state inference, thereby enabling flexible decision-making under uncertainty. Collectively, these findings recast the vHPC as a modular, computationally rich structure essential for adaptive behavior, which may provide new insights into circuit-level dysfunction in affective disorders.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".