Work

The optimization of neuroprosthetic interfaces relying on biophysical and surrogate digital twins

Year: 2026
Type: article
Abstract: The electrical stimulation of the nervous system has shown great clinical potential in injury and pathology, yet experimentally driven practice makes it challenging to identify effective design choices and personalized stimulation protocols. This review outlines emerging model-based optimization frameworks that address these challenges by leveraging biophysical digital twins of neural interfaces. Enabling acceleration strategies and complementary data-driven approaches are also highlighted, along with key factors that currently limit clinical translation.
Language: English
Open Access status: gold
Estimated APC paid: $2,690
OpenAlex ID: W7154255272
FWCI: 4.753
Cites: 291
Cited by: 2
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