Wave properties of action potentials from fast and slow motor units of rats
Bibliographic record
Abstract
The purpose of this study was to identify the frequency, conduction velocity, and wavelength of fast and slow motor unit action potentials (MUAPs) from mixed mammalian muscle. Stimulation and blocking pulses to the sciatic nerve produced varying recruitment patterns (confirmed by force measurements) of fast and slow motor units of the medial gastrocnemius of six rats. Myoelectric signals from the muscle were resolved into their intensity in time and frequency space. Slow MUAPs had a mean frequency (+/- SEM) of 183 +/- 8 Hz, conduction velocity of 3.5 +/- 0.6 m s(-1), and wavelength of 19 mm. Fast MUAPs had a mean frequency of 369 +/- 11 Hz, conduction velocity of 6.7 +/- 0.5 m s(-1), and wavelength of 18 mm. Frequency and conduction velocity, but not wavelength, were significantly different between the fast and slow MUAPs. The distinct wave properties of fast and slow MUAPs can thus be used to distinguish action potentials from these motor units, and could be used to determine patterns of motor unit recruitment during locomotion.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".