Rodent Isolated Spinal Cord Preparations to Examine Motor Output
Bibliographic record
Abstract
Understanding mammalian neural networks such as the central pattern generator (CPG) for locomotion requires the use of multiple experimental models. In vitro approaches provide easy access to the spinal cord, thus allowing more experimental tools to be used. In this chapter, some established and new tools are outlined that are being used to advance our understanding of CPG function at both cellular and network levels. A variety of in vitro models exist including the isolated spinal cord, brainstem-spinal cord, and spinal cord leg-attached preparations. There are also a variety of ways to activate spinal CPGs using these preparations. Choosing which preparation and mode of CPG activation will vary depending on the question being asked. This chapter will review some of the common approaches used and also examine optogenetic, genetic, and Ca2+ imaging approaches that are being used to dissect the structure and function of CPGs.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".