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Improved color constancy in honey bees enabled by parallel visual projections from dorsal ocelli

Significance Color sensing requires a capacity to discount the changing color of natural light. We present a biologically validated mathematical solution to this classic problem based on honey bee color vision. The observed spectral tuning of two simple ocellar photoreceptors in the honey bee allows for an optimal color constancy solution to different light environments, including standard CIE (Commission Internationale de l’Eclairage) illuminations, natural forest light, sunlight, or shade. The model is fully supported by a neural pathway potentially allowing for the transfer of spectral information originating from the ocellar photoreceptors to the centralized information processing regions in the brain and explains previously observed behavioral results. This solution to color constancy can be implemented into color imaging systems to enable accurate color interpretation. How can a pollinator, like the honey bee, perceive the same colors on visited flowers, despite continuous and rapid changes in ambient illumination and background color? A hundred years ago, von Kries proposed an elegant solution to this problem, color constancy, which is currently incorporated in many imaging and technological applications. However, empirical evidence on how this method can operate on animal brains remains tenuous. Our mathematical modeling proposes that the observed spectral tuning of simple ocellar photoreceptors in the honey bee allows for the necessary input for an optimal color constancy solution to most natural light environments. The model is fully supported by our detailed description of a neural pathway allowing for the integration of signals originating from the ocellar photoreceptors to the information processing regions in the bee brain. These findings reveal a neural implementation to the classic color constancy problem that can be easily translated into artificial color imaging systems.