灵长类动物白球体和运动皮层中运动序列的编码:对顺序位置的统一偏好
Devin R Harsch1, Karin M Cox1, Kevin K M Wright1
1Department of Neurobiology, Center for Neuroscience and The Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, Pennsylvania 15261.
bioRxiv : the preprint server for biology
|September 26, 2025
概括
大脑通过表示运动顺序来编码动作序列,而不仅仅是序列开始或停止点. 基底和运动皮层神经元以可预测和随机的顺序跟踪运动顺序.
科学领域:
- 运动神经科学 运动神经科学
- 计算神经科学是一种神经科学.
- 系统神经科学 系统神经科学
背景情况:
- 了解大脑如何产生流体运动序列是一个关键的挑战.
- 基础质 (BG) 功能现有的模型提供了相互竞争的解释:序列边界信号与顺序位置编码.
- 之前的研究经常使用具有最终奖励的固定序列,限制了对自然主义运动控制的概括性.
研究的目的:
- 为了研究大脑,特别是基底 (BG) 和主要运动皮质 (M1) 如何代表连续的动作.
- 要区分提出BG神经元信号序列边界的模型与那些暗示它们编码顺序运动位置的模型.
- 在可预测的 (固定) 和不可预测的 (随机) 序列条件下检查基于运动的奖励的神经表示.
主要方法:
- 在一个视觉运动任务中训练了四只 rhesus ,其中包括4-5次连续的操纵杆动作.
- 实现了两个条件:固定序列和随机序列,在每次移动后都有奖励.
- 在任务执行过程中记录了来自全球白 (GP; n=458) 和M1 (n=306) 的单个单位活动.
主要成果:
- 在GP和M1中,显著比例的神经元编码了序列内的运动的顺序位置.
- 顺序位置编码在固定条件中更为普遍,但也在随机序列中观察到.
- 没有发现神经元偏好信号序列启动或终止的一致证据,这挑战了特定边界模型.
结论:
- 基底 (BG) 神经元,类似于M1神经元,在整个运动序列中编码顺序位置.
- 这些发现挑战了仅专注于序列边界的BG函数模型.
- 该研究强调了BG在代表电机序列生产的连续订单方面发挥更广泛的作用.
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