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一个光学大脑机器接口揭示了后壁状皮质在目标定向导航中的因果作用
Ethan Sorrell1, Daniel E Wilson2, Michael E Rule1
1Department of Engineering, University of Cambridge, Cambridge, UK.
Cell reports
|July 16, 2025
概括
通过脑机界面 (BMI),小鼠可以使用从后壁皮质 (PPC) 的大脑活动,通过脑机界面 (BMI) 导航虚拟现实. 自然存在的PPC神经模式直接控制导航,这表明它在预期的运动轨迹中发挥了作用.
科学领域:
- 神经科学是一个神经科学.
- 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:
- 皮层电路将各种信号集成到复杂的循环网络中.
- 识别神经活动和行为之间的因果关系是具有挑战性的.
研究的目的:
- 通过使用脑机界面 (BMI) 调查后壁皮质 (PPC) 在导航中的作用.
- 为了确定自然发生的PPC活动模式是否可以直接驱动导航行为.
主要方法:
- 开发了一个基于成像的BMI,用于实时控制小鼠的虚拟导航.
- 训练了一个解码器,从PPC神经活动中估计导航方向和速度.
- 在虚拟导航任务中将控制从鼠标移动切换到BMI.
主要成果:
- 鼠标立即使用BMI向目标位置导航,展示实时控制.
- 没有观察到学习或适应,表明现有的PPC活动模式足够.
- 在BMI控制期间解码的轨迹与身体运动脱,这表明PPC编码了预期的轨迹.
结论:
- 后壁皮质 (PPC) 在导航中起因作用.
- 自然发生的PPC活动模式足以驱动实时导航行为.
- 这种BMI方法为研究神经控制行为的神经控制提供了一个强大的工具.
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