The human brain has evolved for group living [1]. Yet we know so little about how it supports
dynamic group interactions that the study of real-world social exchanges has been dubbed …

EEG phase is increasingly used in cognitive neuroscience, brain–computer interfaces, and
closed-loop stimulation devices. However, it is unknown how accurate EEG phase …

Cognitive operations are widely studied by measuring electric fields through EEG and
ECoG. However, despite their widespread use, the neural circuitry giving rise to these …

Electroencephalography (EEG) likely reflects activity of cortical neurocircuits, making it an
insightful estimation for mental health in patients with substance use disorder (SUD). EEG …

Separating neural signals from noise can improve brain-computer interface performance
and stability. However, most algorithms for separating neural action potentials from noise …

Cortical sensory processing is greatly impacted by internally generated activity. But
controlling for that activity is difficult since the thalamocortical network is a high-dimensional …

Steady-state visually evoked potential (SSVEP) studies routinely employ simultaneous
presentation of two temporally modulated stimuli, with SSVEP amplitude modulations …

Correlation and coherence are highly informative metrics for studying coding and
communication in the brain. Recent findings have emphasized how the brain modifies …

Long‐range interactions between cortical areas are undoubtedly a key to the computational
power of the brain. For healthy human subjects, the premier method for measuring brain …

Local field potential (LFP) oscillations in the beta band (13–30 Hz) in the subthalamic
nucleus (STN) of Parkinson's disease patients have been implicated in disease severity and …