Brain-computer interface (BCI) is a rapidly evolving technology that has the potential to
widely influence research, clinical and recreational use. Non-invasive BCI approaches are …

Brain-computer interface (BCI) technology aims to help individuals with disability to control
assistive devices and reanimate paralyzed limbs. Our study investigated the feasibility of an …

Objective. Electrocorticography (ECoG), used as a neural recording modality for brain-
machine interfaces (BMIs), potentially allows for field potentials to be recorded from the …

Background Providing neurofeedback (NF) of motor-related brain activity in a biologically-
relevant and intuitive way could maximize the utility of a brain-computer interface (BCI) for …

Our research group recently demonstrated that a person with tetraplegia could use a brain–
computer interface (BCI) to control a sophisticated anthropomorphic robotic arm with skill …

Objective. Brain–computer interface (BCI) technology aims to provide individuals with
paralysis a means to restore function. Electrocorticography (ECoG) uses disc electrodes …

Objective. Closed-loop experiments provide unique insights into brain dynamics and
function. To facilitate a wide range of closed-loop experiments, we created an open-source …

With the large-scale access of new energy generation and electric vehicle charging piles to
the grids, power generation and loads are characterized by random fluctuations and …

Brain computer interfaces are currently considered to greatly enhance assistive
technologies and improve the experiences of people with special needs in the workplace …

This paper demonstrates the feasibility of decoding neuronal population signals using a
sparse linear regression model with an elastic net penalty. In offline analysis of real …