Equiluminant Border Ownership Cells as a Missing Link in Color Form Perception
Bibliographic record
Abstract
Abstract We propose the existence of a sub-population of border ownership neurons that signal figure side along equiluminant borders, those defined purely by color contrast. We postulate that these neurons, similar to primate equiluminant V1 [26] and V4 [5] cells, are strongly activated by equiluminant contrast on their preferred side, with diminished response for strictly luminance contrast. To test this hypothesis, we propose a hierarchical and mechanistic model that explains how equiluminant border ownership signals can be achieved in the ventral stream. Our simulation results suggest that model equiluminant neurons are highly color-selective while exhibiting similar orientation and border ownership selectivity as their luminance counterparts. Additionally, our model equiluminant cells indeed exhibited the above postulated pattern of responses. We suggest that these neurons are the missing links in the equiluminance channels in the ventral stream that transform equiluminant oriented edge signals in V1 to equiluminant object-centered shape representations in V4. Our findings point to the importance of re-examining the border ownership neuron population to further detail their role in equiluminant channels in the ventral stream.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".