EEG can be used to characterise functional networks using a variety of connectivity (FC)
metrics. Unlike EEG source reconstruction, scalp analysis does not allow to make inferences …

To what extent electrocorticography (ECoG) and electroencephalography (scalp EEG) differ
in their capability to locate sources of deep brain activity is far from evident. Compared to …

Ordinal time series analysis is based on the idea to map time series to ordinal patterns, ie,
order relations between the values of a time series and not the values themselves, as …

It remains challenging to relate EEG and MEG to underlying circuit processes and
comparable experiments on both spatial scales are rare. To close this gap between invasive …

The sequence of events leading to an eye movement to a target begins the moment visual
information has reached the brain, well in advance of the eye movement itself. The process …

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

Individual differences in visual working memory capacity are related to slow-wave event-
related potentials (ERPs) and suppression of alpha-band oscillatory power measured during …

The nature of cortical plasticity in learning is one of the most intriguing questions of modern
cognitive neuroscience. Classical conditioning (as a typical case of associative learning) …

Electroencephalography (EEG) has long been used to index brain states, from early studies
describing activity in the presence and absence of visual stimulation to modern work …

Known physical mechanisms of temperature dependence anomalies of water properties
were used to explain the regularities in temperature dependence (TDs) of dynamic …