Brain–machine interface

A brain–machine interface (BMI) is a device that translates neuronal information into commands capable of controlling external software or hardware such as a computer or robotic arm. BMIs are often used as assisted living devices for individuals with motor or sensory impairments.

Latest Research and Reviews

News and Comment

  • Comments & Opinion
    | Open Access

    Two papers published in June 2021 used a two-photon microscope or one-photon miniature microscope to interrogate the motor cortex in behaving macaque monkeys. The imaging was performed over several months, and the direction of natural arm reaching was decoded from the population activity.

    • Masanori Matsuzaki
    •  & Teppei Ebina
  • Editorial
    | Open Access

    The impaired brain is often difficult to restore, owing to our limited knowledge of the complex nervous system. Accumulating knowledge in systems neuroscience, combined with the development of innovative technologies, may enable brain restoration in patients with nervous system disorders that are currently untreatable. The Neuroprosthetics in Systems Neuroscience and Medicine Collection provides a platform for interdisciplinary research in neuroprosthetics.

    • Kenji Kansaku
  • News & Views |

    Narrow-bandwidth signals and relaxed neural-recording parameters can substantially reduce the power requirements of brain–machine interfaces without degrading their performance.

    • Marc W. Slutzky
  • News & Views |

    In the presence of recording instabilities, the performance of brain–computer interfaces can be robustly maintained by exploiting ‘hidden’ structures underlying neural activity.

    • Lahiru N. Wimalasena
    • , Lee E. Miller
    •  & Chethan Pandarinath