Deep learning on butterfly phenotypes tests evolution’s oldest mathematical model-Reference-Cited by-同舟云学术

Deep learning on butterfly phenotypes tests evolution’s oldest mathematical model

Published:2019-08-02 Issue:8 Volume:5 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Hoyal Cuthill Jennifer F.¹²³^ORCID,Guttenberg Nicholas¹,Ledger Sophie⁴^ORCID,Crowther Robyn⁴^ORCID,Huertas Blanca⁴^ORCID

Affiliation:

1. Earth-Life Science Institute, Tokyo Institute of Technology, Tokyo 152-8550, Japan.

2. Department of Earth Sciences, University of Cambridge, Cambridge CB2 3EQ, UK.

3. Institute of Analytics and Data Science and School of Life Sciences, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK.

4. Department of Entomology, Natural History Museum, Cromwell Road, London SW7 5BD, UK.

Abstract

Artificial intelligence validates evolution’s oldest mathematical model by learning about butterfly mimicry.

Funder

John Templeton Foundation

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference42 articles.

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2. Character Analysis in Morphological Phylogenetics: Problems and Solutions

3. Quantitative criteria for species delimitation

4. Ituna and Thyridia; a remarkable case of mimicry in butterflies;Müller F.;Trans. Entomol. Soc. Lond.,1879

5. The diversification of Heliconius butterflies: what have we learned in 150 years?

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