The modelling of avian visual perception predicts behavioural rejection responses to variable egg colours.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F08%3A00005843" target="_blank" >RIV/61989592:15310/08:00005843 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The modelling of avian visual perception predicts behavioural rejection responses to variable egg colours.
Original language description
How do birds tell the colours of their own and foreign eggs apart? We demonstrate that perceptual modelling of avian visual discrimination can predict behavioural rejection responses to foreign eggs in the nest of wild birds. We use a photoreceptor noise-limited colour opponent model of visual perception to evaluate its accuracy as a predictor of behavioural rates of experimental egg discrimination in the song thrush Turdus philomelos. The visual modelling of experimental and natural eggshell colours suggests that photon capture from the ultraviolet and short wavelength-sensitive cones elicits egg rejection decisions in song thrushes, while inter-clutch variation of egg coloration provides sufficient contrasts for detecting conspecific parasitism in this species. Biologically realistic sensory models provide an important tool for relating variability of behavioural responses to perceived phenotypic variation.
Czech name
Modelování zrakového vnímání u ptáků predikuje odmítavé chování vůči různě zbarveným vejcím.
Czech description
Ukázali jsme, že perceptuální modelování ptačí zrakové diskriminace může předpovídat odmítání cizích vajec v hnízdech volně žijících ptáků.
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
EG - Zoology
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Biology Letters
ISSN
1744-9561
e-ISSN
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Volume of the periodical
4
Issue of the periodical within the volume
5
Country of publishing house
GB - UNITED KINGDOM
Number of pages
3
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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