Performance‐Recoverable Closed‐Loop Neuroprosthetic System

Soft bioelectronics mechanically comparable to living tissues have driven advances in closed-loop neuroprosthetic systems for the recovery of sensory-motor functions. Despite notable progress in this field, critical challenges persist in achieving long-term stable closed-loop neuroprostheses, particularly in preventing uncontrolled drift in the electrical sensitivity and/or charge injection performance owing to material fatigue or mechanical damage. Additionally, the absence of an intelligent feedback loop has limited the ability to fully compensate for sensory-motor function loss in nervous systems. Here, a novel class of soft, closed-loop neuroprosthetic systems is presented for long-term operation, enabled by spontaneous performance recovery and machine-learning-driven correction to address the material fatigue inherent in chronic wear or implantation environments. Central to this inn…