ArticleScience translational medicine2013
A brain-machine interface enables bimanual arm movements in monkeys.
Article in Science translational medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.
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Who cites it
62 citing papers in PubMed.
- Restoring rapid natural bimanual typing with a neuroprosthesis after paralysis.Nature neuroscience · 2026Article
- The Association of Primate Veterinarians and the European Primate Veterinarians Position Statement on the Value of Nonhuman Primates in Research.Journal of the American Association for Laboratory Animal Science : JAALAS · 2026Article
- Multi-area activity in mouse motor cortex associated with one- and two-handed oromanual dexterity.bioRxiv : the preprint server for biology · 2026Article
- The Compositional Encoding of Hand-Eye Coordinated Movements for Single Neurons in the Posterior Parietal Cortex.bioRxiv : the preprint server for biology · 2026Article
- Multi-Channel Neural Interface for Neural Recording and Neuromodulation.Small methods · 2026Review
- A frugal Spiking Neural Network for unsupervised multivariate temporal pattern classification and multichannel spike sorting.Nature communications · 2025Article
- Gesture encoding in human left precentral gyrus neuronal ensembles.Communications biology · 2025Article
- Reward signals in the motor cortex: from biology to neurotechnology.Nature communications · 2025Review
- Neural signal analysis in chronic stroke: advancing intracortical brain-computer interface design.Frontiers in human neuroscience · 2025Article
- Brain-Computer Interfaces with Intracortical Implants for Motor and Communication Functions Compensation: Review of Recent Developments.Sovremennye tekhnologii v meditsine · 2024Review
- Neural underpinnings of the interplay between actual touch and action imagination in social contexts.Frontiers in human neuroscience · 2023Article
- Neural Decoding for Intracortical Brain-Computer Interfaces.Cyborg and bionic systems (Washington, D.C.) · 2023Review
- Representation and decoding of bilateral arm motor imagery using unilateral cerebral LFP signals.Frontiers in human neuroscience · 2023Article
- Neuronal representation of bimanual arm motor imagery in the motor cortex of a tetraplegia human, a pilot study.Frontiers in neuroscience · 2023Article
- Shared Control of Bimanual Robotic Limbs With a Brain-Machine Interface for Self-Feeding.Frontiers in neurorobotics · 2022Article
- Local field potentials in the parietal reach region reveal mechanisms of bimanual coordination.Nature communications · 2021Article
- Article
- From Novel Technology to Novel Applications: Comment on "An Integrated Brain-Machine Interface Platform With Thousands of Channels" by Elon Musk and Neuralink.Journal of medical Internet research · 2019Article
- Creating a neuroprosthesis for active tactile exploration of textures.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Neural Coding of Cell Assemblies via Spike-Timing Self-Information.Cerebral cortex (New York, N.Y. : 1991) · 2018Article
2 more citing papers are in PubMed but not listed here.
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5 authors.
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Abstract
Brain-machine interfaces (BMIs) are artificial systems that aim to restore sensation and movement to paralyzed patients. So far, BMIs have enabled only one arm to be moved at a time. Control of bimanual arm movements remains a major challenge. We have developed and tested a bimanual BMI that enables rhesus monkeys to control two avatar arms simultaneously. The bimanual BMI was based on the extracellular activity of 374 to 497 neurons recorded from several frontal and parietal cortical areas of both cerebral hemispheres. Cortical activity was transformed into movements of the two arms with a decoding algorithm called a fifth-order unscented Kalman filter (UKF). The UKF was trained either during a manual task performed with two joysticks or by having the monkeys passively observe the movements of avatar arms. Most cortical neurons changed their modulation patterns when both arms were engaged simultaneously. Representing the two arms jointly in a single UKF decoder resulted in improved decoding performance compared with using separate decoders for each arm. As the animals' performance in bimanual BMI control improved over time, we observed widespread plasticity in frontal and parietal cortical areas. Neuronal representation of the avatar and reach targets was enhanced with learning, whereas pairwise correlations between neurons initially increased and then decreased. These results suggest that cortical networks may assimilate the two avatar arms through BMI control. These findings should help in the design of more sophisticated BMIs capable of enabling bimanual motor control in human patients.
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