Computational mechanism underlying switching of motor actions.

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS PLoS Computational Biology Pub Date : 2025-02-10 eCollection Date: 2025-02-01 DOI:10.1371/journal.pcbi.1012811
Shan Zhong, Nader Pouratian, Vassilios Christopoulos
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Abstract

Survival of species in an ever-changing environment requires a flexibility that extends beyond merely selecting the most appropriate actions. It also involves readiness to stop or switch actions in response to environmental changes. Although considerable research has been devoted to understanding how the brain switches actions, the computations underlying the switching process and how it relates to the selecting and stopping processes remain elusive. A normative theory suggests that switching is simply an extension of the stopping process, during which a current action is first inhibited by an independent pause mechanism before a new action is generated. This theory was challenged by the affordance competition hypothesis, according to which the switching process is implemented through a competition between the current and new actions, without engaging an independent pause mechanism. To delineate the computations underlying these action regulation functions, we utilized a neurocomputational theory that models the process of selecting, stopping and switching reaching movements. We tested the model predictions in healthy individuals who performed reaches in dynamic and uncertain environments that often required stopping and switching actions. Our findings suggest that unlike the stopping process, switching does not necessitate a proactive pause mechanism to delay movement initiation. Hence, the switching and stopping processes seem to be implemented by different mechanisms at the planning phase of the reaching movement. However, once the reaching movement has been initiated, the switching process seems to involve an independent pause mechanism if the new target location is unknown prior to movement initiation. These findings offer a new understanding of the computations underlying action switching, contribute valuable insights into the fundamental neuroscientific mechanisms of action regulation, and open new avenues for future neurophysiological investigations.

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运动动作转换的计算机制。
物种在不断变化的环境中生存需要一种灵活性,而不仅仅是选择最合适的行动。它还包括准备停止或改变行动以应对环境变化。尽管已经有相当多的研究致力于理解大脑是如何转换动作的,但转换过程背后的计算以及它与选择和停止过程的关系仍然难以捉摸。一种规范理论认为,切换只是停止过程的延伸,在此过程中,当前的动作首先被一个独立的暂停机制抑制,然后才产生新的动作。这一理论受到了功能竞争假说的挑战,根据该假说,切换过程是通过当前和新动作之间的竞争来实现的,没有独立的暂停机制。为了描述这些动作调节功能背后的计算,我们利用神经计算理论来模拟选择、停止和切换到达动作的过程。我们在健康人身上测试了模型的预测,这些健康人在动态和不确定的环境中经常需要停止和切换动作。我们的研究结果表明,与停止过程不同,切换并不需要主动暂停机制来延迟运动的开始。因此,在到达运动的计划阶段,切换和停止过程似乎是由不同的机制实现的。然而,一旦到达运动开始,如果新的目标位置在运动开始之前未知,那么切换过程似乎涉及一个独立的暂停机制。这些发现提供了对动作转换计算的新理解,为动作调节的基本神经科学机制提供了有价值的见解,并为未来的神经生理学研究开辟了新的途径。
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
PLoS Computational Biology
PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.10
自引率
4.70%
发文量
820
审稿时长
2.5 months
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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