Coherent activity at three major lateral hypothalamic neural outputs controls the onset of motivated behavior responses
Bibliographic record
Abstract
Abstract The lateral hypothalamus (LH) plays an important role in motivated behavior. However, it is not known how LH neural outputs dynamically signal to major downstream targets to organize behavior. We used multi-fiber photometry to show that three major LH neural outputs projecting to the dorsal raphe nucleus (DRN), ventral tegmental area (VTA), and lateral habenula (LHb) exhibit significant coherent activity in mice engaging motivated responses, which decrease during immobility. Mice engaging active coping responses exhibit increased activity at LH axon terminals that precedes an increase in the activity of serotonin neurons and dopamine neurons, indicating that they may play a role in initiating active responses stemming from LH signal transmissions. The optogenetic activation of LH axon terminals in either the DRN, VTA, or LHb was sufficient to increase mobility but had different effects on passive avoidance and sucrose consumption, suggesting that LH outputs use complementary mechanisms to control behavioral responses. Our results support the notion that the three LH neural outputs play complementary roles in initiating motivated behaviors.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".