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能动性、步态和自我意识。

Agency, gait and self-consciousness.

机构信息

Laboratory of Cognitive Neuroscience, Brain Mind Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

出版信息

Int J Psychophysiol. 2012 Feb;83(2):191-9. doi: 10.1016/j.ijpsycho.2011.12.006. Epub 2012 Jan 4.

Abstract

Agency is an important aspect of bodily self-consciousness, allowing us to separate own movements from those induced by the environment and to distinguish own movements from those of other agents. Unsurprisingly, theoretical frameworks for agency such as central monitoring are closely tied to computational models of sensorimotor control. Until recently agency research has largely focussed on goal-directed movements of the upper limbs. In particular, the influence of performance-related sensory cues and the relevance of prediction signals for agency judgements have been studied through a variety of spatio-temporal mismatches between movement and the sensory consequences of movement. However, agents often perform a different type of movement; highly automated movements that involve the entire body such as walking, cycling, and swimming with potentially different agency mechanisms. Here, we review recent work about agency for full-body movements such as gait, highlighting the effects of performance-related visual and auditory cues on gait agency. Gait movements differ from upper limb actions. Gait is cyclic, more rarely immediately goal-directed, and is generally considered one of the most automatic and unconscious actions. We discuss such movement differences with respect to the functional mechanisms of full-body agency and body-part agency by linking these gait agency paradigms to computational models of motor control. This is followed by a selective review of gait control, locomotion, and models of motor control relying on prediction signals and underlining their relevance for full-body agency.

摘要

能动性是躯体自我意识的一个重要方面,它使我们能够将自身运动与环境引起的运动区分开来,并将自身运动与其他主体的运动区分开来。毫不奇怪,能动性的理论框架,如中央监控,与感觉运动控制的计算模型密切相关。直到最近,能动性研究主要集中在上肢的有目的运动上。特别是,通过运动和运动的感觉后果之间的各种时空不匹配,研究了与表现相关的感觉线索的影响以及预测信号对能动性判断的相关性。然而,主体通常执行不同类型的运动;全身参与的高度自动化运动,如步行、骑自行车和游泳,可能具有不同的能动性机制。在这里,我们回顾了最近关于全身运动(如步态)的能动性研究,强调了与表现相关的视觉和听觉线索对步态能动性的影响。步态运动与上肢动作不同。步态是周期性的,不太直接是有目的的,通常被认为是最自动和无意识的动作之一。我们通过将这些步态能动性范式与运动控制的计算模型联系起来,讨论了与全身能动性和身体部位能动性的功能机制有关的这种运动差异。接下来是对步态控制、运动和依赖预测信号的运动控制模型的选择性回顾,并强调了它们对全身能动性的相关性。

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