Please use this identifier to cite or link to this item: https://cir.cenieh.es/handle/20.500.12136/3270
Title: Artificial neural networks predict perikymata counts on worn teeth from two key paleoanthropological sites: Atapuerca (Spain) and Omo valley (Ethiopia)
Authors: Modesto-Mata, Mario
Hlusko, Leslea J.
Guy, F.
Boisserie, J.R.
Martínez de Pinillos, Marina
Towle, Ian
Arsuaga, Juan Luis
Bermúdez de Castro, José María
Keywords: Perikymata;Artificial neural;Teeth;Atapuerca (España);Omo valley (Ethiopia)
Issue Date: Apr-2024
Publisher: Wiley
Citation: American Journal of Biological Anthropology, 2024, 183 (S77), p. 120
Abstract: Long-growth markers on the enamel surface, perikymata, are key to assess enamel formation times of teeth. It is well known that crown formation times varied through evolutionary time, as Australopithecus and Paranthropus have significantly lower number of perikymata than Homo species, indicating faster rates of ename growth.
Description: Ponencia presentada en: 93rd Annual Meeting of the American Association of Biological Anthropologists
URI: https://cir.cenieh.es/handle/20.500.12136/3270
ISSN: 2692-7691
DOI: 10.1002/ajpa.24928
Editor version: https://doi.org/10.1002/ajpa.24928
Type: Presentation
Other
Appears in Collections:Congresos, encuentros científicos y estancias de investigación

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