A deep neural network tracks tool proficiency development.

IF 0.9 4区 心理学 Q4 BEHAVIORAL SCIENCES
Melissa Johnston, Donna Kean, Alex H Taylor
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引用次数: 0

Abstract

DeepLabCut, a deep-learning-based network for markerless pose estimation, has been used to track the acquisition and development of tool use in a nontool-using corvid species. This development has the potential to lead to new lines of research understanding how tool and motor expertise develop at the behavioral, neural, cognitive, and evolutionary level. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

深度神经网络跟踪工具熟练度的发展。
DeepLabCut是一种基于深度学习的无标记姿态估计网络,已被用于跟踪非工具鸦科动物使用工具的获取和发展。这一发展有可能导致新的研究路线,了解工具和运动专业知识是如何在行为、神经、认知和进化水平上发展的。(PsycInfo Database Record (c) 2025 APA,版权所有)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Experimental Psychology-Animal Learning and Cognition
Journal of Experimental Psychology-Animal Learning and Cognition Psychology-Experimental and Cognitive Psychology
CiteScore
2.90
自引率
23.10%
发文量
39
期刊介绍: The Journal of Experimental Psychology: Animal Learning and Cognition publishes experimental and theoretical studies concerning all aspects of animal behavior processes.
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