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当准备付出代价的时候.

Mark M Churchland1,2,3

  • 1Grossman Center for the Statistics of Mind, Columbia University in the City of New York, New York, United States.

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概括
此摘要是机器生成的。

计算原理解释了肌肉运动之前的准备性神经活动. 这项研究阐明了驱动运动控制和自愿行动的基本机制.

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延迟到达的时间延迟到达发动机控制器 发动机控制器汽车网络 汽车网络发动机准备工作 发动机准备工作神经科学 神经科学没有,没有,没有.最好的控制和控制是最优的.经常性的神经网络.

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科学领域:

  • 神经科学是一个神经科学.
  • 计算生物学 计算生物学
  • 发动机控制器的控制器

背景情况:

  • 随意运动之前有神经预备活动.
  • 管理这项准备活动的精确计算原则仍然不完全理解.

研究的目的:

  • 阐明肌肉激活前神经准备活动的计算基础.
  • 为了解运动启动的神经控制提供理论框架.

主要方法:

  • 利用计算建模来模拟神经网络动态.
  • 分析了与运动规划相关的神经计算的理论原则.

主要成果:

  • 确定了需要预备神经活动的关键计算原理.
  • 演示了这些原则如何导致运动前神经信号的可预测模式.

结论:

  • 计算原理为准备性神经活动提供了基本的解释.
  • 了解这些原则对于推进运动控制和神经工程领域至关重要.