Decoding and Reconstructing Color from Responses in Human Visual Cortex
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Abstract
How is color represented by spatially distributed patterns of activity in visual cortex? Functional magnetic resonance imaging responses to several stimulus colors were analyzed with multivariate techniques: conventional pattern classification, a forward model of idealized color tuning, and principal component analysis (PCA). Stimulus color was accurately decoded from activity in V1, V2, V3, V4, and VO1 but not LO1, LO2, V3A/B, or MT+. The conventional classifier and forward model yielded similar accuracies, but the forward model (unlike the classifier) also reliably reconstructed novel stimulus colors not used to train (specify parameters of) the model. The mean responses, averaged across voxels in each…
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Topics
Keywords
- Stimulus (psychology)
- Voxel
- Artificial intelligence
- Pattern recognition (psychology)
- Visual cortex
- Color vision
- Principal component analysis
- Color space
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