In individuals with sensory-motor impairments, missing limb functions can be restored using neuroprosthetic devices that directly interface with the nervous system. However, restoring the natural tactile experience through electrical neural stimulation requires complex encoding strategies. Indeed, they are presently limited in effectively conveying or restoring tactile sensations by bandwidth constraints. Neuromorphic technology, which mimics the natural behavior of neurons and synapses, holds promise for replicating the encoding of natural touch, potentially informing neurostimulation design. In this perspective, we propose that incorporating neuromorphic technologies into neuroprostheses could be an effective approach for developing more natural human-machine interfaces, potentially leading to advancements in device performance, acceptability, and embeddability. We also highlight ongoing challenges and the required actions to facilitate the future integration of these advanced technologies.

在感觉运动障碍的个体中，可以使用直接与神经系统交互的神经假肢装置来恢复缺失的肢体功能。然而，通过电神经刺激恢复自然触觉体验需要复杂的编码策略。事实上，由于带宽限制，它们目前在有效传达或恢复触觉方面受到限制。模拟神经元和突触自然行为的神经形态技术有望复制自然触觉的编码，从而可能为神经刺激设计提供信息。从这个角度来看，我们建议将神经形态技术整合到神经假体中可能是开发更自然的人机界面的有效方法，可能会导致设备性能、可接受性和可嵌入性的进步。我们还强调了持续的挑战以及促进这些先进技术的未来整合所需的行动。