在的运动皮层中达到序列的准备活动中的乘法联合编码
Tianwei Wang1,2,3, Yun Chen1,2,3, Yiheng Zhang1,2,3
1Institute of Neuroscience, Key Laboratory of Primate Neurobiology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
Nature communications
|April 11, 2024
概括
运动皮层中的神经编码在连续运动过程中从乘法转变为加法. 这一发现揭示了大脑如何计划和执行复杂的行为.
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:
- 运动皮质整合了运动的感觉和认知信息.
- 了解大脑如何编码连续运动仍然是一个挑战.
研究的目的:
- 为了研究在运动皮层中构成序列运动表现的基础的神经机制.
- 确定神经元活动在任务准备和执行过程中如何代表多个运动元素.
主要方法:
- 从子的运动皮层记录神经元活动,使用微电极阵列和单个电极.
- 子通过记住的线索来执行双重达到的任务.
- 分析神经数据以识别运动准备和执行期间的编码策略.
- 利用在双重触及任务上训练的循环神经网络来建模神经活动.
主要成果:
- 在准备阶段确定了一个乘法编码组件,共同调整即将到来的和随后的到达.
- 这种编码机制在动作执行过程中以添加方式过渡.
- 类似的乘法联合编码在训练有素的循环神经网络中自发地出现.
结论:
- 运动皮层采用了动态编码策略,将序列运动的表征从乘法转变为加法.
- 乘法联合编码丰富了连续行动的神经表征.
- 这种编码策略可以解释顺序任务中元素运动的线性读数.
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