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An ecological origin of the asymmetry of human color discrimination: evidence from psychophysics, MEG, and deep neural networks
bioRxiv · · Preprint · Open access
Hedjar, Morimoto + 5 more
Abstract ↗AI summary
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Orangish hue discrimination is more sensitive than purplish hue discrimination in humans, with neural decoding differences emerging around 250 ms after stimulus onset.
- Why it matters: The anisotropic hue–chroma thresholds have been viewed as a fixed outcome of cone-opponent wiring, but the ecological basis of this asymmetry is unclear.
- What they did: Using 15 image and reflectance databases, orangish hues comprised 62.5% of chromatic samples versus 5.3% for purplish hues; psychophysics in 44 participants and MEG decoding tested the resulting hue–chroma asymmetry.
- The result: Deep neural networks trained on naturalistic images reproduced the human-like asymmetry, and hue-inverted training reversed it, implying ecological color statistics shape discrimination geometry.
The findingWhy it mattersWhat they didThe result
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