Since the second half of the twentieth century, intracranial electroencephalography (iEEG),
including both electrocorticography (ECoG) and stereo-electroencephalography (sEEG) …

Abstract Information processing in the brain is governed by oscillatory activity. Activity
oscillations in specific frequency bands (theta, alpha, beta and gamma) have been …

Contemporary neural networks still fall short of human-level generalization, which extends
far beyond our direct experiences. In this paper, we argue that the underlying cause for this …

Complex Morlet wavelets are frequently used for time-frequency analysis of non-stationary
time series data, such as neuroelectrical signals recorded from the brain. The crucial …

Working memory is thought to result from sustained neuron spiking. However, computational
models suggest complex dynamics with discrete oscillatory bursts. We analyzed local field …

Two ongoing movements in human cognitive neuroscience have researchers shifting focus
from group-level inferences to characterizing single subjects, and complementing tightly …

A comprehensive guide to the conceptual, mathematical, and implementational aspects of
analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This …

Magnetoencephalography and electroencephalography (M/EEG) measure the weak
electromagnetic signals originating from neural currents in the brain. Using these signals to …

Among all neurotrophins, brain-derived neurotrophic factor (BDNF) stands out for its high
level of expression in the brain and its potent effects on synapses. It is now widely accepted …

Mindfulness meditation has been purported to be a beneficial practice for wellbeing. It would
therefore be expected that the neurophysiology of mindfulness would reflect this impact on …