芯片上的大脑接口的机遇和挑战
Wenwei Shao1,2,3, Weiwei Meng1,2,3, Jiachen Zuo1,2,3
1Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China.
Cyborg and bionic systems (Washington, D.C.)
|June 18, 2025
概括
芯片上的大脑接口 (BoCI) 将实验室中培养的大脑与计算机合并为先进的混合智能. 这些系统提供神经启发的计算,但在神经发育和人工智能集成方面面临挑战.
科学领域:
- 神经科学是一个神经科学.
- 生物技术是生物技术.
- 计算机科学 计算机科学
背景情况:
- 生命科学和IT的融合推动了创新,其中脑计算机接口 (BCI) 处于最前沿.
- 芯片上的大脑接口 (BoCIs) 是一种使用实验室培养的大脑的新型BCI方法.
研究的目的:
- 探索BoCI作为实验室成长的大脑与外部环境之间的交互性桥梁的潜力.
- 突出干细胞和微电极技术的进步,使BoCI发展成为可能.
- 讨论AI在BoCI应用中的作用以及生物神经网络固有的优势.
主要方法:
- 使用先进的编码/解码技术和电极进行信号传输.
- 开发具有干细胞和微电极阵列的神经电极混合结构.
- 采用人工智能驱动的刺激策略和BoCI系统的解码算法.
主要成果:
- 与传统的BCI相比,BoCI提供了更大的实验可控性和可扩展性.
- 在BoCIs中的生物神经网络提供了超低的能耗和动态可塑性.
- BoCI的应用扩展到模式识别和机器人控制,形成一个混合智能框架.
结论:
- BoCI为混合智能提供了一个新的框架,将生物认知能力与机器效率合并.
- 关键的挑战包括优化神经成熟,生物电子接口,神经可塑性和人工智能集成.
- 克服这些挑战可能会带来对新兴智能和下一代生物计算的洞察力.
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