Neuromorphic decoding architectures for low-power implantable neural interfaces
The study proposes a neuromorphic on-chip decoding architecture, reducing power consumption by an order of magnitude versus conventional digital signal processing.
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10 entries6 月 2026
5 月 2026
Twenty-year survival analysis of Utah array implants: lessons for chronic BCI design
The retrospective analysis reviews functional longevity across decades of Utah array implants, providing a historical benchmark for next-generation chronic device design.
6 月 2026
Progress toward high-resolution visual prosthesis via cortical surface stimulation
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.
Closed-loop deep brain stimulation for treatment-resistant depression: a controlled study
The closed-loop protocol dynamically adjusted stimulation based on real-time neural signals, yielding significantly greater symptom improvement versus open-loop controls.
A fully wireless, battery-free neural recording system for freely moving subjects
The system uses external RF power delivery for fully wireless recording, removing the mobility constraints of wired connections; validated in animal models.
7 月 2026
Restoring overground walking after spinal cord injury with targeted epidural stimulation
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.
Chronic biocompatibility of flexible thin-film electrodes: a two-year histological study
The study compared glial scarring around flexible versus rigid electrodes, finding significantly milder tissue response in the flexible group.
Long-term stability of high-channel-count cortical electrodes in non-human primates
Researchers tracked signal quality of high-density arrays implanted over two years, finding roughly 70% of channels still yielding usable signal.
Reducing word error rate in speech decoding via context-aware language models
The study integrates large language models into post-decoding processing, further reducing word error rate toward conversational usability.
6 月 2026
Large-scale simultaneous recording from over 10,000 neurons using next-generation Neuropixels probes
The preprint reports a new record in simultaneous recording scale in rodent models, with probe fabrication supported by imec.