对闭环方向盘控制的决定性和非决定性贡献的上下文依赖性.
Seth W Egger1, Sander W Keemink2, Mark S Goldman1,2,3
1Center for Neuroscience, University of California, Davis.
bioRxiv : the preprint server for biology
|August 12, 2024
概括
这项研究揭示了子的方向盘行为是如何根据环境而改变的. 通过一种新的分析,研究人员发现,控制系统和系统中的噪声都适应不同的任务.
科学领域:
- 神经科学是一个神经科学.
- 发动机控制器的控制器
- 计算生物学 计算生物学
背景情况:
- 传感系统和电机输出通常在闭环中运行,在闭环中,动作会影响传感反.
- 转向,将方向与目标对齐,是传感器运动处理的例子,其中电机命令纠正方向错误.
研究的目的:
- 解开闭环感应运动行为中的决定性和非决定性过程,特别是方向盘.
- 用非参数的,基于线性内核的方法分析在虚拟环境中操纵子的行为数据.
主要方法:
- 在两个不同的实验环境中对子方向盘数据应用了非参数的,基于线性内核的分析.
- 模拟了转向变换作为第二阶线性系统,并分析了装配的内核的参数.
- 将残留值与噪声模型相匹配,以描述行为中的非确定性组件.
主要成果:
- 装配的内核在任务之间显示出显著的差异,表明神经和生物力学参数如刚性和粘度的上下文依赖的变化.
- 噪声的形式 (非确定性组成部分) 在各种环境和动物中高度保留.
- 观察到的噪音模式与之前在人类方向盘任务中发现的噪音模式非常相匹配.
结论:
- 转向行为涉及上下文依赖的确定性过程,挑战恒定四肢属性的假设.
- 方向盘中的非确定性过程 (噪声) 在不同任务,个体,甚至物种中都非常一致.
- 这种基于内核的分析有效地描述了闭环感应运动任务中决定性和非决定性元素的上下文依赖性.
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