让大脑与计算机之间的接口像肌肉一样可靠
1National Center for Adaptive Neurotechnologies, Albany Stratton VA Medical Center and State University of New York at Albany, 113 Holland Ave, Albany, NY 12208, United States of America.
Journal of neural engineering
|May 27, 2025
概括
大脑-计算机接口 (BCI) 可以像自然肌肉行动一样可靠,通过专注于神经科学来开发技能,而不仅仅是神经工程. 这涉及创建模拟自然技能网络以改善BCI功能的人造heksors.
科学领域:
- 神经科学是一个神经科学.
- 神经工程 神经工程是神经工程.
- 生物医学工程 生物医学工程
背景情况:
- 大脑-计算机接口 (BCI) 目前恢复了基本通信,但缺乏基于自然肌肉行为的可靠性.
- 现有的BCI研究主要集中在神经工程上,以改善大脑信号测量和分析.
- 神经工程本身不足以实现复杂动作所需的高可靠性.
研究的目的:
- 将BCI的研究重点从纯粹的神经工程转移到包括神经科学原则.
- 发展BCI技能,以模拟自然人类技能的可靠性和适应性.
- 在理解和改进BCI功能方面探索"巫师"的概念.
主要方法:
- 将自然技能概念化为"巫师"的神经网络,这些神经网络自我修改以保持技能特征.
- 为BCI引入"合成六合体",集成神经元,突触和软件.
- 分析合成heksors与中枢神经系统之间的相互作用和共同适应.
主要成果:
- 自然技能是由可适应的神经网络 ("巫师") 产生的,这些神经网络通过谈判平衡保持关键特征.
- 基于BCI的技能可以通过合成heksors产生,这需要与用户的神经系统共同适应.
- 合成刀可以利用多式感官反,并专注于保持基本技能特征.
结论:
- 将神经科学原理与神经工程结合起来,对于提高BCI可靠性至关重要.
- 合成子提供了一个框架,用于培养模仿自然运动控制的BCI技能.
- 未来的BCI可以通过对技能获取和维护的更深入理解来实现类似肌肉的可靠性.
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