从动力系统的角度看灵活的运动定时。
A Dynamical Systems Perspective on Flexible Motor Timing.
机构信息
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; These authors contributed equally to this work.
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Brain & Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Netherlands Institute for Neuroscience, Amsterdam, BA 1105, The Netherlands; Erasmus Medical Center, Rotterdam, The Netherlands.
出版信息
Trends Cogn Sci. 2018 Oct;22(10):938-952. doi: 10.1016/j.tics.2018.07.010.
A hallmark of higher brain function is the ability to rapidly and flexibly adjust behavioral responses based on internal and external cues. Here, we examine the computational principles that allow decisions and actions to unfold flexibly in time. We adopt a dynamical systems perspective and outline how temporal flexibility in such a system can be achieved through manipulations of inputs and initial conditions. We then review evidence from experiments in nonhuman primates that support this interpretation. Finally, we explore the broader utility and limitations of the dynamical systems perspective as a general framework for addressing open questions related to the temporal control of movements, as well as in the domains of learning and sequence generation.
高级大脑功能的一个标志是能够根据内部和外部线索快速灵活地调整行为反应。在这里，我们研究了使决策和行动能够随时间灵活展开的计算原理。我们采用了动态系统的观点，并概述了如何通过输入和初始条件的操纵来实现系统中的时间灵活性。然后，我们回顾了来自非人类灵长类动物实验的证据，这些证据支持了这一解释。最后，我们探讨了动态系统观点作为解决与运动的时间控制以及学习和序列生成领域相关的开放问题的一般框架的更广泛的效用和局限性。
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