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 |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.







