The measurement, evolution, and neural representation of action grammars of human behavior

Abstract Human behaviors from toolmaking to language are thought to rely on a uniquely evolved capacity for hierarchical action sequencing. Testing this idea will require objective, generalizable methods for measuring the structural complexity of real-world behavior. Here we present a data-driven ap...

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Bibliographic Details
Main Authors: Dietrich Stout, Thierry Chaminade, Jan Apel, Ali Shafti, A. Aldo Faisal
Format: Article
Language:English
Published: Nature Portfolio 2021-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-92992-5