The state of clinical trials of implantable brain–computer interfaces
KM Patrick-Krueger, I Burkhart… - Nature reviews …, 2025 - nature.com
Implanted brain–computer interfaces (iBCIs) translate brain activity recorded intracranially
into commands for virtual or physical machines to restore or rehabilitate motor, sensory or …
into commands for virtual or physical machines to restore or rehabilitate motor, sensory or …
[HTML][HTML] Beyond language: The unspoken sensory-motor representation of the tongue in non-primates, non-human and human primates
The English idiom “on the tip of my tongue” commonly acknowledges that something is
known, but it cannot be immediately brought to mind. This phrase accurately describes …
known, but it cannot be immediately brought to mind. This phrase accurately describes …
Brain control of bimanual movement enabled by recurrent neural networks
Brain-computer interfaces have so far focused largely on enabling the control of a single
effector, for example a single computer cursor or robotic arm. Restoring multi-effector motion …
effector, for example a single computer cursor or robotic arm. Restoring multi-effector motion …
[HTML][HTML] Shared control of bimanual robotic limbs with a brain-machine interface for self-feeding
Advances in intelligent robotic systems and brain-machine interfaces (BMI) have helped
restore functionality and independence to individuals living with sensorimotor deficits; …
restore functionality and independence to individuals living with sensorimotor deficits; …
Decoding and geometry of ten finger movements in human posterior parietal cortex and motor cortex
Objective. Enable neural control of individual prosthetic fingers for participants with upper-
limb paralysis. Approach. Two tetraplegic participants were each implanted with a 96 …
limb paralysis. Approach. Two tetraplegic participants were each implanted with a 96 …
Left hemisphere dominance for bilateral kinematic encoding in the human brain
Neurophysiological studies in humans and nonhuman primates have revealed movement
representations in both the contralateral and ipsilateral hemispheres. Inspired by clinical …
representations in both the contralateral and ipsilateral hemispheres. Inspired by clinical …
Translating deep learning to neuroprosthetic control
Advances in deep learning have given rise to neural network models of the relationship
between movement and brain activity that appear to far outperform prior approaches. Brain …
between movement and brain activity that appear to far outperform prior approaches. Brain …
Decoding multi-limb movements from two-photon calcium imaging of neuronal activity using deep learning
S Park, M Lipton, MC Dadarlat - Journal of neural engineering, 2024 - iopscience.iop.org
Objective. Brain–machine interfaces (BMIs) aim to restore sensorimotor function to
individuals suffering from neural injury and disease. A critical step in implementing a BMI is …
individuals suffering from neural injury and disease. A critical step in implementing a BMI is …
Effect of head-mounted virtual reality and vibrotactile feedback in ERD during motor imagery Brain–computer interface training
D Batista, G Caetano, M Fleury… - Brain-Computer …, 2024 - Taylor & Francis
Brain–computer interfaces (BCIs) can provide a non-muscular channel of control to stroke
patients for motor rehabilitation. This can be achieved through the use of motor imagery (MI) …
patients for motor rehabilitation. This can be achieved through the use of motor imagery (MI) …
Maintained representations of the ipsilateral and contralateral limbs during bimanual control in primary motor cortex
Primary motor cortex (M1) almost exclusively controls the contralateral side of the body.
However, M1 activity is also modulated during ipsilateral body movements. Previous work …
However, M1 activity is also modulated during ipsilateral body movements. Previous work …