Revealing the functions of Pleistocene EXpedient OSseous TECHnology with an innovative approach that integrates tribology with AI

HORIZON.1.1HORIZON-ERCID: 101161065
EC Contribution
€17,434
Consortium Size
2 orgs
Summary

Over the last two decades, growing evidence attests to the use of unmodified or partially modified bone fragments as tools by members of our lineage prior to the emergence of fully shaped, standardized bone tools. These simple tools, some of which date to 2.4 million years ago (Myr), were interpreted as items used for digging, piercing, cutting, or scraping but definitive conclusions are difficult to reach without comprehensive evidence owing to the lack of adequate research strategies for investigating them. Indeed, we critically need quantitative replicable methods to infer their role in past cultural systems, which, in turn, would allow us to document their evolution in relation to other aspects of Pleistocene material culture. ExOsTech aims to tackle this challenging task through the development and application of an innovative approach that integrates tribology with artificial intelligence to study use-wear patterns present on expedient osseous tools. This methodological breakthrough relies on discriminant analysis of surface textural data (ISO 25178) acquired by confocal microscopy as well as image recognitions and multi-class neural network algorithms to precisely establish the function of expedient osseous tools. This method will be applied to study assemblages from Europe, Southern Africa, and East Asia dated between 1.8 Ma and 60 thousand years ago (ka). Cross-cultural comparisons of regional trajectories will be performed to establish when expedient osseous tools became fully integrated in past cultural systems and when standardized behaviours guiding their selection and use emerged in our lineage. Ultimately, ExOsTech will offer a new perspective on Pleistocene cultural dynamics that can not otherwise be inferred solely from stone technology.

Consortium (2)

Project Results (12)

Source: CORDIS, the EU research results database.

Publications (11)
A bone tool used by neanderthal for flaying carcasses at the Abri du Maras (France)
Scientific Reports· 2025DOI
Luc Doyon, Juan Marín Hernando, Marie-Hélène Moncel, Maïlys Richard, Valentine Arnaud, Francesco d’Errico
Archéologia Magazine
Les plus vieux outils en os au monde· 2025
Luc Doyon; Francesco d'Errico
Beyond formal implements: How expedient bone tools shaped winter survival strategies at Shuidonggou Locality 12
Journal of Archaeological Science· 2025DOI
Shuwen Ma, Yue Zhang, Xing Gao, Fuyou Chen, Huimin Wang, Shuangquan Zhang, Luc Doyon
Homo sapiens could have hunted with bow and arrow from the onset of the Early Upper Palaeolithic in Eurasia
iScience· 2025DOI
Keiko Kitagawa; José-Miguel Tejero; Reuven Yeshurun; Rudolf Walter; Hannah Huber; Robin Andrews; Nico Magliozzi; Luc Doyon
Repository for the analyses in “A bone tool used by Neanderthal for flaying carcasses at the Abri du Maras (France)” by Doyon et al.
Zenodo· 2025DOI
Luc Doyon
Retouchers made on human bones in Mousterian context: Symbolic particularism or undifferentiated processing compared to other faunal remains?
· 2025
Kelly-Ann Desjardins
Revisiting the Early Aurignacian in Italy: New insights from Grotta della Cala
Quaternary Science Reviews· 2025DOI
Armando Falcucci, Keiko Kitagawa, Luc Doyon, Laura Tassoni, Tom Higham, Clarissa Dominici, Diego Dreossi, Jacopo Crezzini, Matteo Rossini, Stefano Benazzi, Ivan Martini, Francesco Boschin, Vincenzo Sp
Systematic bone tool production at 1.5 million years ago
Nature· 2025DOI
Ignacio de la Torre, Luc Doyon, Alfonso Benito-Calvo, Rafael Mora, Ipyana Mwakyoma, Jackson K. Njau, Renata F. Peters, Angeliki Theodoropoulou, Francesco d’Errico
An overview of the origin and developmental trajectory of expedient bone tool during the Early and Middle Paleolithic in China
Prehistoric Archaeology· 2024DOI
Shuwen MA, Doyon Luc
Deep Learning-Based Computer Vision Is Not Yet the Answer to Taphonomic Equifinality in Bone Surface Modifications
Journal of Computer Applications in Archaeology· 2024DOI
Lloyd Austin Courtenay, Nicolas Vanderesse, Luc Doyon, Antoine Souron
Data Management Plan
Deliverables (1)
Data Management Plan