DataVXAdvanced SciencePaper
journal article·2025-12Open access

Chronically Stable, High‐Resolution Micro‐Electrocorticographic Brain‐Computer Interfaces for Real‐Time Motor Decoding (Adv. Sci. 45/2025)

Erda Zhou, Xiner Wang, Jizhi Liang, Yang Liu, Qinrong Yang, Xingchen Ran, Lei Xia, Xiang Zou, Changjiang Liu, Liuyang Sun, Lei Peng, Liang Chen, Ying Mao, Zehan Wu, Tiger H. Tao, Zhitao Zhou

Advanced Science· Volume 12· Issue 45
Publisher pageOpen full text
Source abstract

Abstract

µECoG BCI with Universal OS for Real-Time Motor Imagery Decoding In their Research Article (DOI: 10.1002/advs.202506663), Zhitao Zhou, Zehan Wu, Tiger H. Tao, and co-workers present a flexible high-density µECoG BCI and paired universal operating system, achieving 203-day stable real-time motor decoding in canines. After 19.87 h practice, cursor control reached 4.15 BPS-matching normal human performance, further enabling precise brain control of diverse digital and physical devices.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: EEG and Brain-Computer Interfaces · Neural dynamics and brain function · Neurological disorders and treatments

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References

Reference metadata was not supplied for this record.