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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Lan Luan, Robin Kim, Chong Xie, Yuxuan Liu et al.
npj Flexible Electronics
Neuroscience and Neural Engineering
article

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

Lan Luan, Robin Kim, Chong Xie, Yuxuan Liu, Jiaao Zhang
article en

Abstract

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.

npj Flexible ElectronicsVol. 9(1)
Rice University (US)
Rice University
Openalex Percentile: Top 82%
Neuroscience and Neural Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Towards precise synthetic neural codes: high-dimensional stimulation with flexible electrodes — Lan Luan, Robin Kim, et al. · npj Flexible Electronics (2025) | TGRS Research Map | TGRS