An Integrate-and-Fire Based Baroreceptor Model
Bibliographic record
Abstract
This paper introduces a new baroreceptor model to simulate its pressure-response. The model consists of two functional parts, representing the mechanoelectrical transduction from pressure to depolarizing current, and the discharge of baroreceptor nerve endings. Different from previous baroreceptor models, special emphasis is put on the regulation of pressure-response from the electrophysiology property of baroreceptor nerve endings, which is described by an integrate-and-fire (IF) model. The physiological phenomena of firing thresholding and refractory time are involved in IF model to simulate the thresholding and saturation features of baroreceptor pressure-response. Extensive simulations have been conducted to verify the performance of the proposed model. The simulation results can reproduce most of the pressure-response curves of baroreceptor, which indicates the validity of the proposed model. Therefore, this baroreceptor model could provide further understanding on baroreceptor working mechanism, and may have future application potential for the development of artificial baroreceptor
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".