Short-term ocular dominance plasticity: no role for color?
Bibliographic record
Abstract
Temporarily depriving one eye of its input, in whole or in part, may result in transient changes in ocular dominance and contrast detection thresholds, with the patched eye becoming stronger and more sensitive and the unpatched eye weaker and less sensitive. Here we address two distinct questions about the role of color vision in these plastic changes. First, we ask whether the target effects of eye deprivation are selective or broadband, for example, whether changes in ocular dominance differentially affect stimuli defined by achromatic as opposed to color contrast. Second, we determine the selectivity of the process driving the inter-ocular plastic changes, asking whether chromatic contrast, in comparison to achromatic contrast, is effective in changing ocular dominance. In experiments 1 and 2, we compare the effects of generalized deprivation on chromatic and achromatic test stimuli, using a translucent occluder over one eye for 2.5-hours. This produced changes in ocular dominance, measured using a dichoptic phase combination paradigm (Zhou et al., 2013, J. Vision, 13(12)), and changes in contrast thresholds that are similar in magnitude and time course for chromatic and achromatic test stimuli. In experiments 3 and 4, we use a dichoptic movie-viewing paradigm (Zhou et al., 2014, Proc. Biol. Sci., 281) to investigate the role of color versus achromatic contrast in driving these effects. We show that a color contrast imbalance between the eyes (uni-ocular chromatic deprivation) is not sufficient to produce changes in ocular dominance for chromatic test stimuli. However, an achromatic imbalance with no chromatic imbalance (uni-ocular achromatic deprivation) causes a generalized change in ocular dominance that affects both chromatic and achromatic test stimuli similarly. We conclude that an interocular imbalance in achromatic contrast, and not chromatic contrast, drives plastic changes in ocular dominance, however, these changes apply unselectively to both chromatic and achromatic responses. Meeting abstract presented at VSS 2016
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".