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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月14日

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  • Robin Kim,
  • Yuxuan Liu,
  • Jiaao Zhang,
  • Chong Xie,
  • Lan Luan

摘要

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.