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用于体感神经假肢的神经形态硬件。

Neuromorphic hardware for somatosensory neuroprostheses.

机构信息

Institute of Neuroinformatics, University of Zurich and ETH Zurich, Zurich, Switzerland.

Department of Organismal Biology and Anatomy, University of Chicago, Chicago, IL, USA.

出版信息

Nat Commun. 2024 Jan 16;15(1):556. doi: 10.1038/s41467-024-44723-3.

Abstract

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.

摘要

在具有感觉运动障碍的个体中,可以使用直接与神经系统接口的神经假体设备来恢复缺失的肢体功能。然而,通过电神经刺激来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,它们目前在有效传递或恢复触觉方面受到限制。神经形态技术模仿神经元和突触的自然行为,有望复制自然触摸的编码,从而为神经刺激设计提供信息。从这个角度来看,我们认为将神经形态技术纳入神经假体可能是开发更自然的人机界面的有效方法,这可能会导致设备性能、可接受性和嵌入式方面的进步。我们还强调了正在面临的挑战和需要采取的行动,以促进这些先进技术的未来整合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1958/10791662/ebd8a46786dd/41467_2024_44723_Fig1_HTML.jpg

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