来自混合传感运动选择性的神经几何学,用于预测传感运动控制
Yiheng Zhang1,2,3, Yun Chen1,2,3, Tianwei Wang1,2
1Center for Excellence in Brain Science and Intelligence Technology, Institute of Neuroscience, Chinese Academy of Sciences, Shanghai, China.
eLife
|May 1, 2025
概括
运动皮层神经元根据感官输入调整运动命令,揭示了目标运动如何影响神经活动在预测控制任务期间. 这项研究阐明了运动皮层功能中的感觉运动动力学.
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
- 计算神经科学是一种神经科学.
背景情况:
- 运动皮质产生运动输出和处理感官信息.
- 了解感官环境如何影响运动指令至关重要,但仍然不清楚.
研究的目的:
- 研究如何感官背景,特别是目标运动,调节神经活动在运动皮质在预测性感官运动控制.
- 阐明灵活的运动指令调整背后的神经机制.
主要方法:
- 在子中使用微电极阵列记录了运动皮层中的人口神经活动.
- 子执行灵活的手动拦截移动的目标.
- 使用表示模型和循环神经网络 (RNN) 分析神经活动.
主要成果:
- 大多数编码运动的运动皮层神经元都受到持续的目标运动的影响.
- 单一试验的神经状态在运动开始时表现出分层的轨道几何形状.
- 发现目标运动可以在直角上调节周围运动活动.
结论:
- 感官背景,如目标运动,在预测任务期间显著影响运动皮质活动.
- 神经元混合的感觉运动选择性和动态相互作用解释了感觉运动动态.
- 这些发现提供了关于自适应运动控制神经基础的见解.
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