We are building HALO, a flexible ultralow-power processing architecture for implantable brain– computer interfaces (BCIs) that directly communicate with biological neurons in real time. This article discusses the rigid power, performance, and flexibility tradeoffs that BCI designers must balance, and how we overcome them via HALO’s palette of domain-specific hardware accelerators, general-purpose microcontroller, and configurable interconnect. Our evaluations using neuronal data collected in vivo from a nonhuman primate, along with full-stack algorithm to chip codesign, show that HALO achieves flexibility and superior performance per watt versus existing implantable BCIs.

中文翻译：

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平衡脑机接口中的专业计算与灵活计算


我们正在构建 HALO，这是一种灵活的超低功耗处理架构，用于植入式脑机接口 (BCI)，可直接与生物神经元实时通信。本文讨论了 BCI 设计人员必须平衡的严格功耗、性能和灵活性权衡，以及我们如何通过 HALO 的特定领域硬件加速器、通用微控制器和可配置互连来克服这些问题。我们使用从非人类灵长类动物体内收集的神经元数据以及芯片协同设计的全栈算法进行的评估表明，与现有的植入式脑机接口相比，HALO 实现了灵活性和每瓦特的卓越性能。