Towards precise synthetic neural codes: high-dimensional stimulation with flexible electrodes
Neural representations arise from the spatiotemporally structured activity of neuron populations, inherently residing in high-dimensional spaces. Writing specific information into the central nervous system requires precisely manipulating neural states within this framework. However, current neuromodulation methods lack the precision to fully address this complexity, presenting a significant challenge for advancing effective bidirectional interfaces. In this perspective, we advocate for high-dimensional stimulation as a systematic approach capable of approximating the high dimensionality of natural neural code for brain-machine interface applications. We outline key technological requirements on resolution, coverage, and safety, review recent advances in critical application areas, and highlight the promise of flexible electrode technology in enabling a transformative leap towards precise synthetic neural codes.
Authors
- Lan Luan (ORCID: https://orcid.org/0000-0002-5327-2240)
- Robin Kim (ORCID: https://orcid.org/0000-0002-4094-4431)
- Chong Xie (ORCID: https://orcid.org/0000-0002-5544-2864)
- Yuxuan Liu (ORCID: https://orcid.org/0000-0002-9347-447X)
- Jiaao Zhang
Institutions
- Rice University (US)
Publication Details
- Journal
- npj Flexible Electronics
- Published
- 2025-07-14
- DOI
- https://doi.org/10.1038/s41528-025-00447-y
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Rice University