V3 neurons regulate sensory transmission as well as locomotion
Bibliographic record
Abstract
It has been shown that the V3 spinal interneurons contribute to locomotion. Here we examined the role of V3 interneurons on sensory transmission. Using confocal microscopy, we found that V3 interneurons receive monosynaptic contacts from sensory afferents and also project monosynaptically back to sensory afferents. Furthermore, intracellular recording of afferents revealed that optogenetic activation of V3 neurons monosynaptically produce a primary afferent depolarization (PAD), with a large NMDA component as well as a classic GABA component. This PAD excites afferents, produces spiking, and in turn drives motoneurons. Furthermore, following V3 neuron activation, subsequent direct activation of sensory afferents caused much attenuated reflexes, likely because the reflex and PAD pathways employ shared V3 neurons. These results suggest that V3 neurons provide an anticipatory activation of afferents ( afferent copy ). This prepares the spinal cord for actual sensory input and attenuates unwanted sensory evoked motor output during voluntary movements like walking. Support or Funding Information Canadian Institutes of Health Research; National Institutes of Health This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
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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) | 0.001 | 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".