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本文引用的文献

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Beyond the comparator model.超越比较器模型。
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Intentional binding and the sense of agency: a review.意图绑定与主体感:综述。
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Spectral fingerprints of large-scale neuronal interactions.大规模神经元相互作用的光谱指纹。
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Whodunnit? Electrophysiological correlates of agency judgements.谁干的?行为判断的电生理相关性。
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Cortical electrophysiological network dynamics of feedback learning.反馈学习的皮质电生理网络动力学。
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Sense of agency in health and disease: a review of cue integration approaches.健康与疾病中的主体感:线索整合方法的综述。
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能动性意识的神经科学新前沿

New frontiers in the neuroscience of the sense of agency.

作者信息

David Nicole

机构信息

Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf Hamburg, Germany.

出版信息

Front Hum Neurosci. 2012 Jun 1;6:161. doi: 10.3389/fnhum.2012.00161. eCollection 2012.

DOI:10.3389/fnhum.2012.00161
PMID:22670145
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3365279/
Abstract

The sense that I am the author of my own actions, including the ability to distinguish my own from other people's actions, is a fundamental building block of our sense of self, on the one hand, and successful social interactions, on the other. Using cognitive neuroscience techniques, researchers have attempted to elucidate the functional basis of this intriguing phenomenon, also trying to explain pathological abnormalities of action awareness in certain psychiatric and neurological disturbances. Recent conceptual, technological, and methodological advances suggest several interesting and necessary new leads for future research on the neuroscience of agency. Here I will describe new frontiers for the field such as the need for novel and multifactorial paradigms, anatomically plausible network models for the sense of agency, investigations of the temporal dynamics during agentic processing and ecologically valid virtual reality (VR) applications.

摘要

一方面,我是自己行为的作者这种感觉,包括区分自己与他人行为的能力,是我们自我意识的基本组成部分;另一方面,也是成功社会互动的基本组成部分。研究人员利用认知神经科学技术试图阐明这一有趣现象的功能基础,同时也试图解释某些精神和神经障碍中动作意识的病理异常。最近在概念、技术和方法上的进展为未来关于能动性神经科学的研究提出了几个有趣且必要的新线索。在此,我将描述该领域的新前沿,比如对新颖的多因素范式的需求、关于能动性感觉的解剖学上合理的网络模型、对能动性处理过程中的时间动态的研究以及生态有效的虚拟现实(VR)应用。