Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

Neural implants have emerged over the last decade as highly effective solutions for the
treatment of dysfunctions and disorders of the nervous system. These implants establish a …

In vivo optogenetics provides unique, powerful capabilities in the dissection of neural circuits
implicated in neuropsychiatric disorders. Conventional hardware for such studies, however …

To ensure long-term consistent neural recordings, next-generation intracortical
microelectrodes are being developed with an increased emphasis on reducing the neuro …

The large power requirement of current brain–machine interfaces is a major hindrance to
their clinical translation. In basic behavioural tasks, the downsampled magnitude of the 300 …

Implanted bioelectronic devices require data transmission through tissue, but ionic
conductivity and inhomogeneity of this medium complicate conventional communication …

Objective. Neural interface technology suitable for clinical translation has the potential to
significantly impact the lives of amputees, spinal cord injury victims and those living with …

Brain–computer interface (BCI) technology has been studied with the fundamental goal of
helping disabled people communicate with the outside world using brain signals. In …

Cortically-controlled prosthetic systems aim to help disabled patients by translating neural
signals from the brain into control signals for guiding prosthetic devices. Recent reports have …

Printed spiral coils (PSCs) are viable candidates for near-field wireless power transmission
to the next generation of high-performance neuroprosthetic devices with extreme size …