Multiplicative modulations in hue-selective cells enhance unique hue representation
This work addresses a gap in neuroscience for understanding color perception mechanisms, but it is incremental as it builds on existing models with a novel nonlinearity.
The study tackled the problem of understanding how the brain processes color and represents unique hues by proposing a hierarchical model with multiplicative modulations, which showed that model V4 neurons can encode unique hues and resemble biological color cells.
There is still much to understand about the color processing mechanisms in the brain and the transformation from cone-opponent representations to perceptual hues. Moreover, it is unclear which areas(s) in the brain represent unique hues. We propose a hierarchical model inspired by the neuronal mechanisms in the brain for local hue representation, which reveals the contributions of each visual cortical area in hue representation. Local hue encoding is achieved through incrementally increasing processing nonlinearities beginning with cone input. Besides employing nonlinear rectifications, we propose multiplicative modulations as a form of nonlinearity. Our simulation results indicate that multiplicative modulations have significant contributions in encoding of hues along intermediate directions in the MacLeod-Boynton diagram and that model V4 neurons have the capacity to encode unique hues. Additionally, responses of our model neurons resemble those of biological color cells, suggesting that our model provides a novel formulation of the brain's color processing pathway.