Analysis and asynchronous detection of gradually unfolding errors during monitoring tasks
Human studies on cognitive control processes rely on tasks involving sudden-onset stimuli,
which allow the analysis of these neural imprints to be time-locked and relative to the stimuli …
which allow the analysis of these neural imprints to be time-locked and relative to the stimuli …
Intracranial error detection via deep learning
Deep learning techniques have revolutionized the field of machine learning and were
recently successfully applied to various classification problems in noninvasive …
recently successfully applied to various classification problems in noninvasive …
Neural correlates of learning and intent during human brain-computer interface use
J Wander - 2015 - digital.lib.washington.edu
Brain-computer interface (BCI) technologies can potentially be used restore function in
patients with severe motor disorders, however, BCI devices currently do not perform well …
patients with severe motor disorders, however, BCI devices currently do not perform well …
[引用][C] Using Reinforcement Learning to Better Train Brain-Computer Interface-Enabled Robotic Prosthetics
KHM Lecamwasam - 2021 - Wellesley College