Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 7713-7718 |
| Number of pages | 6 |
| Journal | Proceedings of the National Academy of Sciences of the United States of America |
| Volume | 114 |
| Issue number | 29 |
| DOIs | |
| Publication status | Published - 18 Jul 2017 |
Keywords
- Daylight
- Insect
- Neuron tracing
- Vision
- Von Kries
Cite this
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Improved color constancy in honey bees enabled by parallel visual projections from dorsal ocelli. / Garcia, Jair E; Hung, Yu-Shan; Greentree, Andrew D; Rosa, Marcello G.P.; Endler, John A; Dyer, Adrian G.
In: Proceedings of the National Academy of Sciences of the United States of America, Vol. 114, No. 29, 18.07.2017, p. 7713-7718.Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - Improved color constancy in honey bees enabled by parallel visual projections from dorsal ocelli
AU - Garcia, Jair E
AU - Hung, Yu-Shan
AU - Greentree, Andrew D
AU - Rosa, Marcello G.P.
AU - Endler, John A
AU - Dyer, Adrian G.
PY - 2017/7/18
Y1 - 2017/7/18
N2 - 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.
AB - 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.
KW - Daylight
KW - Insect
KW - Neuron tracing
KW - Vision
KW - Von Kries
UR - http://www.scopus.com/inward/record.url?scp=85024384914&partnerID=8YFLogxK
U2 - 10.1073/pnas.1703454114
DO - 10.1073/pnas.1703454114
M3 - Article
AN - SCOPUS:85024384914
VL - 114
SP - 7713
EP - 7718
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
SN - 0027-8424
IS - 29
ER -