迈向精确的合成神经编码:柔性电极的高维刺激

IF 15.5 1区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Robin Kim, Yuxuan Liu, Jiaao Zhang, Chong Xie, Lan Luan
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引用次数: 0

摘要

神经表征来自高维的群体活动,但目前的神经调节方法缺乏将信息写入如此复杂的中枢神经系统的精度。从这个角度来看,我们提出高维刺激作为一种更好地近似脑机接口的自然神经编码的方法。在分辨率、覆盖范围和安全性方面的关键进展是必不可少的,灵活的微电极阵列为精确合成神经编码提供了一条有希望的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Towards precise synthetic neural codes: high-dimensional stimulation with flexible electrodes

Towards precise synthetic neural codes: high-dimensional stimulation with flexible electrodes

Neural representations arise from high-dimensional population activity, but current neuromodulation methods lack the precision to write information into the central nervous system at this complexity. In this perspective, we propose high-dimensional stimulation as an approach to better approximate natural neural codes for brain-machine interfaces. Key advancements in resolution, coverage, and safety are essential, with flexible microelectrode arrays offering a promising path toward precise synthetic neural codes.

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来源期刊
CiteScore
17.10
自引率
4.80%
发文量
91
审稿时长
6 weeks
期刊介绍: npj Flexible Electronics is an online-only and open access journal, which publishes high-quality papers related to flexible electronic systems, including plastic electronics and emerging materials, new device design and fabrication technologies, and applications.
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