Electroencephalogram (EEG) is a brain signal known for its high time resolution and
moderate signal-to-noise ratio. Whether natural images can be decoded from EEG has been …

Type 2 Diabetes Mellitus (T2DM) is a metabolic disease that leads to multiple vascular
complications with concomitant changes in human neurophysiology, which may lead to long …

It remains to be understood how biological motion is hierarchically computed, from
discrimination of local biological motion animacy to global dynamic body perception. Here …

A model based on inhibitory coupling has been proposed to explain perceptual oscillations.
This' adapting reciprocal inhibition'model postulates that it is the strength of inhibitory …

Facial emotion perception can be studied from the point of view of dynamic systems whose
output may depend not only on current input but also on prior history—a phenomenon …

Introduction Spoken language comprehension requires listeners map continuous features of
the speech signal to discrete category labels. Categories are however malleable to …

The visual appearance of an object is a function of stimulus properties as well as perceptual
biases imposed by the observer. The context-specific trade-off between both can be …

Surrounding context influences speech listening, resulting in dynamic shifts to category
percepts. To examine its neural basis, event-related potentials (ERPs) were recorded during …

Poststroke aphasia is one of the most dramatic functional deficits that results from direct
damage of focal brain regions and dysfunction of large-scale brain networks. The …

Over the past decades, object recognition has been predominantly studied and modelled as
a feedforward process. This notion was supported by the fast response times in …