Brain–machine interface articles from across Nature Portfolio

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

Research | 20 February 2023

Epidural stimulation of the cervical spinal cord for post-stroke upper-limb paresis

Electrical stimulation of cervical spinal circuits facilitates arm and hand movements in two participants with moderate and severe chronic post-stroke hemiparesis.
- Marc P. Powell
- , Nikhil Verma
- & Marco Capogrosso
Nature Medicine, 1-11
Reviews
06 January 2023 | Open Access

Neuroprosthetics: from sensorimotor to cognitive disorders

This state-of-the-art Review highlights the evolution of neuromodulation and neuroprosthetic systems from sensorimotor to cognitive disorders.
- Ankur Gupta
- , Nikolaos Vardalakis
- & Fabien B. Wagner
Communications Biology 6, 14
Research
16 December 2022 | Open Access

Phase-adaptive brain stimulation of striatal D1 medium spiny neurons in dopamine-depleted mice
- Youngcho Kim
- , Dennis Jung
- & Nandakumar S. Narayanan
Scientific Reports 12, 21780
Research
15 December 2022 | Open Access

Beta rhythmicity in human motor cortex reflects neural population coupling that modulates subsequent finger coordination stability

EEG measurements of the human motor cortex during a finger tapping task show that premovement cortical oscillatory coupling influences bimanual coordination performance after consolidation.
- Seitaro Iwama
- , Takufumi Yanagisawa
- & Junichi Ushiba
Communications Biology 5, 1375
Research
01 December 2022 | Open Access

Brain computer interface to distinguish between self and other related errors in human agent collaboration
- Viktorija Dimova-Edeleva
- , Stefan K. Ehrlich
- & Gordon Cheng
Scientific Reports 12, 20764
Research
22 November 2022 | Open Access

Optimized APPS-tDCS electrode position, size, and distance doubles the on-target stimulation magnitude in 3000 electric field models
- Kevin A. Caulfield
- & Mark S. George
Scientific Reports 12, 20116

All Research & Reviews

News and Comment

Comments & Opinion | 01 September 2022

Neurocognitive and motor-control challenges for the realization of bionic augmentation

Robotic fingers and arms that augment the motor abilities of non-disabled individuals are increasingly feasible yet face neurocognitive barriers and hurdles in efferent motor control.
- Tamar R. Makin
- , Silvestro Micera
- & Lee E. Miller
Nature Biomedical Engineering, 1-5
Editorial | 18 October 2021

Robotic body augmentation

Can the human brain cope with controlling an extra robotic arm or digit added to the body?

Nature Machine Intelligence 3, 837
Comments & Opinion
02 August 2021 | Open Access

Optical deep-cortex exploration in behaving rhesus macaques

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
Nature Communications 12, 4656
Research Highlights | 27 May 2021

Handwriting with a brain implant

A brain implant in a paralyzed person can decode neuronal activity into accurate text communication.
- Karen O’Leary
Nature Medicine
Editorial
08 March 2021 | Open Access

Neuroprosthetics in systems neuroscience and medicine

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
Scientific Reports 11, 5404
News & Views | 22 October 2020

Increasing power efficiency

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
Nature Biomedical Engineering 4, 937-938

All News & Comment

Brain–machine interface articles from across Nature Portfolio

Latest Research and Reviews

Epidural stimulation of the cervical spinal cord for post-stroke upper-limb paresis

Neuroprosthetics: from sensorimotor to cognitive disorders

Phase-adaptive brain stimulation of striatal D1 medium spiny neurons in dopamine-depleted mice

Beta rhythmicity in human motor cortex reflects neural population coupling that modulates subsequent finger coordination stability

Brain computer interface to distinguish between self and other related errors in human agent collaboration

Optimized APPS-tDCS electrode position, size, and distance doubles the on-target stimulation magnitude in 3000 electric field models

News and Comment

Neurocognitive and motor-control challenges for the realization of bionic augmentation

Robotic body augmentation

Optical deep-cortex exploration in behaving rhesus macaques

Handwriting with a brain implant

Neuroprosthetics in systems neuroscience and medicine

Increasing power efficiency

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