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
bioRxiv : the preprint server for biology
|December 9, 2024
概括
通过脑机界面 (BMI),小鼠可以立即使用脑活动从后壁皮质 (PPC) 通过脑机界面 (BMI) 来导航虚拟现实. 这表明自然的PPC活动模式直接控制导航,无需进一步学习.
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反复网络中.
- 建立神经活动和行为之间的因果关系是具有挑战性的.
- 后壁皮质 (PPC) 参与导航和感觉运动控制.
研究的目的:
- 在实时导航中研究后壁皮质皮质 (PPC) 的因果作用.
- 为此目的开发和使用基于成像的脑机界面 (BMI).
主要方法:
- 开发了一种基于成像的脑机界面 (BMI).
- 训练了一个解码器,从PPC神经活动中估计导航方向和速度.
- 在小鼠的导航任务中使用虚拟现实环境.
主要成果:
- 通过BMI控制,小鼠立即导航到目标位置,而不需要学习或适应.
- 自然发生的PPC活动模式足以实时驱动导航轨迹.
- 在BMI控制期间解码的轨迹与物理鼠标运动分离,表明PPC在预期的导航中的作用.
结论:
- 后壁皮质 (PPC) 在控制导航行为方面发挥着直接的因果作用.
- 这项研究证明了BMI方法在剖析神经电路功能的实用性.
- PPC活动反映了预期的航行轨迹,而不是执行的运动.
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