Work

Materials and microsystems for stable and high-efficiency brain-computer interfaces in signal recording

Year: 2026
Type: article
Abstract: Brain–computer interfaces enable high-resolution neural recording, yet chronic performance is constrained by interacting factors across materials, electrode and array architectures, and microsystem integration. This review examines how these cross-level design layers collectively shape recording stability, efficiency, and scalability. We summarize representative degradation patterns, strategies for improving long-term performance, and recent advances in integrated systems, and outline design principles for clinically scalable and reliable neural interfaces.
Language: English
Open Access status: hybrid
Estimated APC paid: $2,590
Award: G325316422
OpenAlex ID: W7166510670
FWCI: 2.529
Cites: 275
Cited by: 1
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