Feedback modulation of transduction by calcium in a spider mechanoreceptor
Bibliographic record
Abstract
Calcium ions play important roles in the adaptation of auditory hair cells, and there is evidence that they are involved in modifying the sensitivity and adaptation of a variety of vertebrate and invertebrate mechanoreceptors. However, there is little direct evidence concerning the concentration changes, signaling pathways or ultimate effects of these proposed modulatory mechanisms. We measured receptor potential, receptor current and action potentials intracellularly during mechanotransduction in a group of sensory neurons of the spider Cupiennius salei, which possesses low-voltage-activated calcium channels. Simultaneously, we elevated intracellular [Ca(2+) ] by UV light release from cage molecules, and observed increases in [Ca(2+) ] as changes in calcium-sensitive dye fluorescence. Increases of 10-15% in [Ca(2+) ] caused reductions of approximately 40% in receptor potential and approximately 20% in receptor current. Mechanically evoked action potential firing caused much larger increases in [Ca(2+) ], and the firing rate fell as [Ca(2+) ] rose during mechanical stimulation. Release of caged calcium just before mechanical stimulation significantly reduced peak firing. Dose-response measurements suggested that the binding of one or two intracellular calcium ions per channel reduces the probability of the mechanotransduction channel being open. Our data indicate that calcium regulates sensitivity in these mechanoreceptor neurons by negative feedback from action potentials onto transduction channels.
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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) | 0.000 | 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 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".