高密度网的高效,自动逃生路由:层和电线数量优化最深出口的算法
Iakov Rachinskiy1, Dmitrii Rachinskii2, Jonathan Viventi1,3,4,5
1Department of Biomedical Engineering, Duke University, Durham, NC, United States of America.
Journal of neural engineering
|May 29, 2025
概括
一个新的算法有效地路由密集的神经接口网格,在不增加设备尺寸的情况下实现更多道. 这一突破对于开发下一代高通道数的神经植入物至关重要.
科学领域:
- 神经科学是一个神经科学.
- 电气工程 电气工程
- 材料科学 材料科学 材料科学
背景情况:
- 对更高通道数的神经接口的需求受到连接器尺寸和制造限制的限制.
- 薄膜基板提供了潜力,但在路由密集的电极网中面临着挑战.
- 当前的方法在频道数,设备大小和灵活性之间进行了权衡.
研究的目的:
- 开发一种有效的算法,用于在神经接口中路由密集网.
- 为了克服制造方面的限制,并使可植入器件的通道数量更高.
- 为了应对不匹配的密度和金属特征尺寸能力的挑战.
主要方法:
- 提出了一种新的算法,用于高效地路由密集的网,即使在最坏的情况下.
- 在连接到无线记录集成电路的1024通道电极上演示了算法的应用.
- 将算法的性能与标准路由方法进行比较.
主要成果:
- 该算法可以在大型网格中路由理论上最大的轨迹数量.
- 与标准方法相比,在可路由的轨迹,层数和足迹面积方面实现了更高的效率.
- 成功应用于1024通道的神经接口设计.
结论:
- 开发的算法有效地路由密集的网格,这对于高通道数的神经接口至关重要.
- 这种方法对未来非常大的通道计数设备设计有希望.
- 自动化设计过程,加速神经接口开发的代.
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