The retrospective analysis reviews functional longevity across decades of Utah array implants, providing a historical benchmark for next-generation chronic device design.
The study proposes a neuromorphic on-chip decoding architecture, reducing power consumption by an order of magnitude versus conventional digital signal processing.
The closed-loop protocol dynamically adjusted stimulation based on real-time neural signals, yielding significantly greater symptom improvement versus open-loop controls.
The study reports methods for evoking finer-grained phosphene patterns via high-density surface arrays, offering a path toward higher-resolution visual information for blind patients.
The system uses external RF power delivery for fully wireless recording, removing the mobility constraints of wired connections; validated in animal models.
The study compared glial scarring around flexible versus rigid electrodes, finding significantly milder tissue response in the flexible group.
Multiple chronic spinal cord injury participants achieved independent overground walking with stimulation assistance, with some retaining partial gains even after the device was turned off.
The study integrates large language models into post-decoding processing, further reducing word error rate toward conversational usability.
Researchers tracked signal quality of high-density arrays implanted over two years, finding roughly 70% of channels still yielding usable signal.
The preprint reports a new record in simultaneous recording scale in rodent models, with probe fabrication supported by imec.