Striatal calcium transients detected by fiber photometry propagate to axons
Bibliographic record
Abstract
ARISING FROM: A. Legaria et al., Nature Neuroscience https://doi.org/10.1038/s41593-022-01152-z (2022). Calcium fiber photometry is a popular technique for recording the activity of neuronal populations defined by their gene expression or connectivity. In a recent study, Legaria et al., present evidence that the calcium signal recorded with fiber photometry primarily reports local fluctuations in neuropil Ca 2+ , rather than somatic Ca 2+ influx corresponding to neural firing, as has been assumed by the field. This raises the question of whether fiber photometry transients are a valid measure of the propagation of information from neural soma to their axons. We addressed this question directly, recording coincident activity from both the somato-dendritic region and downstream axons of striatal neural populations. Our findings demonstrate that calcium events are reliably propagated to axons, supporting the interpretation that these events reflect neuronal firing.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".