动作(物理)
认知科学
心理学
编码(集合论)
领域(数学分析)
沟通
计算机科学
神经科学
程序设计语言
数学分析
物理
数学
集合(抽象数据类型)
量子力学
标识
DOI:10.1016/j.tics.2023.08.012
摘要
The action observation network (AON) has traditionally been thought to be dedicated to recognizing animate actions. A recent study by Karakose-Akbiyik et al. invites rethinking this assumption by demonstrating that the AON contains a shared neural code for general events, regardless of whether those events involve animate or inanimate entities.
科研通智能强力驱动
Strongly Powered by AbleSci AI