A Taxonomy of Different Forms of Visual Motion Detection and Their Underlying Neural Mechanisms
Why this work is in the frame
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Bibliographic record
Abstract
A simple taxonomy of different forms of visual motion is presented to show that there may be a hierarchical system of processing of visual motion in the brain, and that this is first split into self-produced motion and object motion, and then further into various forms of animate and inanimate motion patterns. Further refinement results in specific mechanisms which stem from specific demands of an animal's life-style and ecological niche. Examples are presented of the underlying neural mechanisms for some of these different classes of visual motion processing, such as simple object motion, looming and time to collision, and stereopsis from the object motion processing subsystem. In contrast, other examples of the neural mechanisms from the self-produced motion system include simple canonical flow field analysis, translation and rotation for guiding action in 3D space, and motion parallax for depth perception. The taxonomy thus provides a framework that may guide future research on how the brain detects and processes other dynamic visual patterns.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 it