Intracortical braincomputer interfaces (iBCIs) that record from microelectrode arrays (MEAs) provide high spatial and temporal resolution access to human cortical activity. Current iBCIs for human …
Recent machine learning techniques have become a powerful tool in a variety of tasks, including neural decoding. Artificial neural network models, particularly recurrent models, can …
Abstract of "Development of a Minimally Biased Approach to Neural State Space Construction and State Identification" by Alexander J. Catoya, ScM., Brown University, May 2019. …
Neural Prosthetics are devices that are able to record brain activity and use it to manipulate the environment in a meaningful way. These devices have …
Motor imagery electroencephalography (MI-EEG) has emerged as a promising technology for brain-computer interfaces (BCIs) in both clinical and recreational settings. Deep learning (DL) has significantly …
Reading comprehension, a fundamental cognitive ability essential for knowledge acquisition, is a complex skill, with a notable number of learners lacking proficiency in this domain. …
A primary goal of intracortical Brain-Computer Interface (iBCI) technology is to restore communication and independence for people with motor disabilities. The BrainGate System is an …
Implantable brain-computer interface (BCI) systems may one day offer persons with locked-in syndrome a means of interacting and communicating with the outside world. These systems …