Entropy is a powerful tool for quantification of the brain function and its information
processing capacity. This is evident in its broad domain of applications that range from …

Human and non-human animal behavior is highly malleable and adapts successfully to
internal and external demands. Such behavioral success stands in striking contrast to the …

Alpha-band oscillatory activity in human electroencephalography (EEG) becomes slower
and lower in amplitude with advanced age. However, the influence of aperiodic activity on …

A hallmark of electrophysiological brain activity is its 1/f-like spectrum–power decreases with
increasing frequency. The steepness of this 'roll-off'is approximated by the spectral …

Research in cognitive neuroscience has extensively demonstrated that the temporal
dynamics of brain activity are associated with cognitive functioning. The temporal dynamics …

Electrophysiological power spectra typically consist of two components: An aperiodic part
usually following an 1/f power law P∝ 1/f β and periodic components appearing as spectral …

We explored changes in multiscale brain signal complexity and power‐law scaling
exponents of electroencephalogram (EEG) frequency spectra across several distinct global …

A growing body of literature suggests that the explicit parameterization of neural power
spectra is important for the appropriate physiological interpretation of periodic and aperiodic …

Highlights•Different forms of cognitive flexibility show dissociable developmental
trajectories.•An adolescent-specific mode of flexibility scaffolds adult-like cognitive …

Spontaneous neural activity fluctuations have been shown to influence trial-by-trial variation
in perceptual, cognitive, and behavioral outcomes. However, the complex …