诱导零相同步作为优化视觉运动集成的潜在神经代码
Kirstin-Friederike Heise1, Geneviève Albouy2, Nina Dolfen3
1Movement Control and Neuroplasticity Research Group, Biomedical Sciences, KU Leuven, Belgium; KU Leuven Brain Institute, Leuven, Belgium; Integrative Neuromodulation and Recovery (iNR) Laboratory, Department of Health Sciences and Research, Medical University of South Carolina, Charleston, SC, USA.
通过优化内部模型,感觉运动肌律的零相携带增强了视觉运动一体化. 这种神经同步提高了性能精度,并简化了力信号,支持预测编码.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 发动机控制器的控制器
背景情况:
- 目标导向行为依赖于整合外部感官数据与内部行动相关信息.
- 内部模型或预期是从先前的知识中形成的,并通过感官反进行更新.
- 预测编码优化了这种整合,在不确定性期间赋予了行为优势.
研究的目的:
- 为了研究传感运动肌律的相位拉动如何影响视觉运动集成.
- 探索在行动过程中最优化信息处理的基础的神经机制.
主要方法:
- 参与者经历了双边运动皮层 (M1) 上的跨体交流电刺激 (M1).
- 在功能磁共振成像 (fMRI) 期间进行了视觉引导的力调整任务.
主要成果:
- 半球间零相携带模块化性能精度,具体针对每个效应器.
- 观察到强力信号复杂性的全球减少,与大脑活动变化有关.
- 在M1和几个大脑区域之间发现了功能连接的增加,包括条纹体.
结论:
- 零相同步可能是优化信息整合的神经机制.
- 这一过程对于在感知-行动循环中更新内部模型至关重要.
- 这些发现支持预测编码在传感运动控制中的作用.
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