对于体感神经假体的神经形态硬件
1Institute of Neuroinformatics, University of Zurich and ETH Zurich, Zurich, Switzerland. elisa@ini.uzh.ch.
Nature communications
|January 16, 2024
概括
神经形态技术可以通过模仿自然的神经处理来改进神经假体,从而在人造四肢中获得更好的触觉反. 这种方法旨在增强人机界面,以恢复肢体功能.
科学领域:
- 神经科学是一个神经科学.
- 生物医学工程 生物医学工程
- 机器人技术 机器人技术 机器人技术
背景情况:
- 神经假肢装置通过与神经系统进行接口,恢复有感官运动障碍的个体的四肢功能.
- 通过电神经刺激恢复自然触觉,由于带宽限制和复杂的编码策略而面临限制.
研究的目的:
- 建议将神经形态技术集成到神经假体中,以实现更自然的人机界面.
- 探索神经形态计算在复制自然触摸编码以改进神经刺激设计方面的潜力.
主要方法:
- 这一观点讨论了神经形态技术的应用,它模仿生物神经元和突触.
- 它回顾了触觉恢复当前的局限性,并提出了一种使用先进计算原理的新方法.
主要成果:
- 神经形态技术为复制自然触摸编码提供了一个有希望的途径,克服了当前带宽限制.
- 将其整合到神经假体中可以显著提高设备性能,用户接受度和嵌入性.
结论:
- 将神经形态技术纳入神经假体是创造自然人机接口的重大进步.
- 解决当前的挑战和促进合作对于这些技术在未来的成功整合至关重要.
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