Deploying Spiking Neural Networks (SNNs) on the Xylo neuromorphic chip via the Rockpool framework represents a significant advancement in achieving ultra-low-power consumption and high computational efficiency for edge applications. This paper details a novel deployment pipeline, emphasizing the integration of Rockpool's capabilities with Xylo's architecture, and evaluates the system's performance in terms of energy efficiency and accuracy. The unique advantages of the Xylo chip, including its digital spiking architecture and event-driven processing model, are highlighted to demonstrate its suitability for real-time, power-sensitive applications.

翻译：通过Rockpool框架将脉冲神经网络（SNNs）部署到Xylo神经形态芯片上，代表了在边缘应用中实现超低功耗与高计算效率的重要进展。本文详述了一种新颖的部署流水线，重点突出了Rockpool框架能力与Xylo芯片架构的集成，并从能效与精度两方面评估了系统性能。文中特别强调了Xylo芯片的独特优势，包括其数字脉冲架构与事件驱动处理模型，以论证其在实时、功耗敏感应用场景中的适用性。