Over the last few decades, the Brain-Computer Interfaces have been gradually making their
way to the epicenter of scientific interest. Many scientists from all around the world have …

Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

Speech brain–computer interfaces (BCIs) have the potential to restore rapid communication
to people with paralysis by decoding neural activity evoked by attempted speech into text, or …

Despite the rapid progress and interest in brain-machine interfaces that restore motor
function, the performance of prosthetic fingers and limbs has yet to mimic native function …

Neuroscience is experiencing a revolution in which simultaneous recording of thousands of
neurons is revealing population dynamics that are not apparent from single-neuron …

Despite rapid advances in machine learning tools, the majority of neural decoding
approaches still use traditional methods. Modern machine learning tools, which are versatile …

Objective. An important goal of neuroprosthetic research is to establish bidirectional
communication between the user and new prosthetic limbs that are capable of controlling> …

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 …

Objective. Direct synthesis of speech from neural signals could provide a fast and natural
way of communication to people with neurological diseases. Invasively-measured brain …

Neural prostheses have the potential to improve the quality of life of individuals with
paralysis by directly map** neural activity to limb-and computer-control signals. We …