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

Abstract 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 appro...

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Bibliographic Details
Main Authors: Robin Kim, Yuxuan Liu, Jiaao Zhang, Chong Xie, Lan Luan
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:npj Flexible Electronics
Online Access:https://doi.org/10.1038/s41528-025-00447-y
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Summary:Abstract 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.
ISSN:2397-4621