Morning and Evening Circadian Pacemakers Independently Drive Premotor Centers via a Specific Dopamine Relay
Bibliographic record
Abstract
Abstract Many animals exhibit morning and evening peaks of locomotor behavior. In Drosophila , previous studies identified two corresponding circadian neural oscillators: M (morning) cells which exhixbit a morning neural activity peak, and E (evening) cells which exhibit a corresponding evening peak of activity. Yet we know little of how these distinct circadian oscillators produce specific outputs that regulate pre-motor circuits to precisely control behavioral episodes. Here we show that the Ring Neurons of the Ellipsoid Body (EB-RNs), a defined pre-motor center, display a spontaneous in vivo neural activity rhythm, with peaks in the morning and in the evening. The two EB-RN activity peaks coincide with the major bouts of locomotor activity and result from independent activation by M and E cells, respectively. Further, M and E cells regulate EB-RNs via two identified dopaminergic neurons PPM3-EB, which project to the EB and which are normally co-active with EB-RNs. Blocking the dopaminergic modulation onto EB-RNs prevents the daily two-peak pattern of neural activity in the EB-RN and greatly impairs circadian locomotor activity. These in vivo findings establish the fundamental elements of a circadian neuronal output pathway: distinct circadian oscillators independently drive a common pre-motor center through the agency of specific dopaminergic interneurons.
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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) | 0.001 | 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".