Neural Control of Three‐Dimensional Eye and Head Posture
Bibliographic record
Abstract
The neural commands for gaze control include not only signals that drive the eyes and head from one point to the next, but also those that hold the eyes and head steady at the end of each movement. Studies using microstimulation and chemical inactivation techniques, in head-fixed and head-free macaques, were used to investigate the role of the interstitial nucleus of Cajal (INC) in the production of the latter, tonic signals. The right INC was found to control clockwise-up and clockwise-down components of both eye and head orientation, whereas the left INC was found to control the counterclockwise-up and counterclockwise-down components. Temporary inactivation of the INC left the eyes and head unable to hold their final torsional and vertical positions after each gaze shift. Thus, the INC is strongly implicated in the production of the tonic, step-like commands that maintain eye and head orientations between gaze shifts. In addition, these studies also found that the INC represents the torsional and vertical commands for eye and head orientation using different coordinate coding strategies, optimally matched to the different three-dimensional postural constraints observed in the eye and head.
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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) | 0.000 | 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".