Silencing synaptic communication between random interneurons during<i>Drosophila</i>larval locomotion
Bibliographic record
Abstract
Genetic manipulation of individual neurons provides a powerful approach toward understanding their contribution to stereotypic behaviors. We describe and evaluate a method for identifying candidate interneurons and associated neuropile compartments that mediate Drosophila larval locomotion. We created Drosophila larvae that express green fluorescent protein (GFP) and a shibire(ts1) (shi(ts1)) transgene (a temperature-sensitive neuronal silencer) in small numbers of randomly selected cholinergic neurons. These larvae were screened for aberrant behavior at an elevated temperature (31-32°C). Among larvae with abnormal locomotion or sensory-motor responses, some had very small numbers of GFP-labeled temperature-sensitive interneurons. Labeled ascending interneurons projecting from the abdominal ganglia to specific brain neuropile compartments emerged as candidates for mediation of larval locomotion. Random targeting of small sets of neurons for functional evaluation, together with anatomical mapping of their processes, provides a tool for identifying the regions of the central nervous system that are required for normal locomotion. We discuss the limitations and advantages of this approach to discovery of interneurons that regulate motor behavior.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".