联想学习
认知
结合属性
认知科学
背景(考古学)
心理学
心理信息
控制(管理)
认知心理学
透视图(图形)
任务(项目管理)
感知
计算机科学
人工智能
神经科学
经济
政治学
管理
古生物学
法学
纯数学
生物
梅德林
数学
作者
Elger L. Abrahamse,Senne Braem,Wim Notebaert,Tom Verguts
摘要
Cognitive control covers a broad range of cognitive functions, but its research and theories typically remain tied to a single domain.Here we outline and review an associative learning perspective on cognitive control in which control emerges from associative networks containing perceptual, motor, and goal representations.Our review identifies 3 trending research themes that are shared between the domains of conflict adaptation, task switching, response inhibition, and attentional control: Cognitive control is context-specific, can operate in the absence of awareness, and is modulated by reward.As these research themes can be envisaged as key characteristics of learning, we propose that their joint emergence across domains is not coincidental but rather reflects a (latent) growth of interest in learning-based control.Associative learning has the potential for providing broad-scaled integration to cognitive control theory, and offers a promising avenue for understanding cognitive control as a self-regulating system without postulating an ill-defined set of homunculi.We discuss novel predictions, theoretical implications, and immediate challenges that accompany an associative learning perspective on cognitive control.
科研通智能强力驱动
Strongly Powered by AbleSci AI