Brain-machine interfaces: from basic science to neuroprostheses and neurorehabilitation
Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …
neurophysiology, computer science, and engineering in an effort to establish real-time …
Restoring sensorimotor function through intracortical interfaces: progress and looming challenges
The loss of a limb or paralysis resulting from spinal cord injury has devastating
consequences on quality of life. One approach to restoring lost sensory and motor abilities in …
consequences on quality of life. One approach to restoring lost sensory and motor abilities in …
Cortical population activity within a preserved neural manifold underlies multiple motor behaviors
Populations of cortical neurons flexibly perform different functions; for the primary motor
cortex (M1) this means a rich repertoire of motor behaviors. We investigate the flexibility of …
cortex (M1) this means a rich repertoire of motor behaviors. We investigate the flexibility of …
Machine learning for neural decoding
Despite rapid advances in machine learning tools, the majority of neural decoding
approaches still use traditional methods. Modern machine learning tools, which are versatile …
approaches still use traditional methods. Modern machine learning tools, which are versatile …
Restoration of grasp following paralysis through brain-controlled stimulation of muscles
Patients with spinal cord injury lack the connections between brain and spinal cord circuits
that are essential for voluntary movement. Clinical systems that achieve muscle contraction …
that are essential for voluntary movement. Clinical systems that achieve muscle contraction …
The science and engineering behind sensitized brain-controlled bionic hands
Advances in our understanding of brain function, along with the development of neural
interfaces that allow for the monitoring and activation of neurons, have paved the way for …
interfaces that allow for the monitoring and activation of neurons, have paved the way for …
The science of neural interface systems
NG Hatsopoulos, JP Donoghue - Annual review of neuroscience, 2009 - annualreviews.org
The ultimate goal of neural interface research is to create links between the nervous system
and the outside world either by stimulating or by recording from neural tissue to treat or …
and the outside world either by stimulating or by recording from neural tissue to treat or …
Rapid calibration of an intracortical brain–computer interface for people with tetraplegia
Objective. Brain–computer interfaces (BCIs) can enable individuals with tetraplegia to
communicate and control external devices. Though much progress has been made in …
communicate and control external devices. Though much progress has been made in …
Latent factors and dynamics in motor cortex and their application to brain–machine interfaces
In the 1960s, Evarts first recorded the activity of single neurons in motor cortex of behaving
monkeys. In the 50 years since, great effort has been devoted to understanding how single …
monkeys. In the 50 years since, great effort has been devoted to understanding how single …
Accurate decoding of reaching movements from field potentials in the absence of spikes
RD Flint, EW Lindberg, LR Jordan… - Journal of neural …, 2012 - iopscience.iop.org
The recent explosion of interest in brain–machine interfaces (BMIs) has spurred research
into choosing the optimal input signal source for a desired application. The signals with …
into choosing the optimal input signal source for a desired application. The signals with …