Electroencephalography (EEG) has been instrumental in making discoveries about
cognition, brain function, and dysfunction. However, where do EEG signals come from and …

The ability to predict when something will happen facilitates sensory processing and the
ensuing computations. Building on the observation that neural activity entrains to periodic …

Flexible behaviors over long timescales are thought to engage recurrent neural networks in
deep brain regions, which are experimentally challenging to study. In insects, recurrent …

Neuroscience has focused on the detailed implementation of computation, studying neural
codes, dynamics and circuits. In machine learning, however, artificial neural networks tend …

Primate visual cortex is hierarchically organized. Bottom-up and top-down influences are
exerted through distinct frequency channels, as was recently revealed in macaques by …

In predictive coding, experience generates predictions that attenuate the feeding forward of
predicted stimuli while passing forward unpredicted “errors.” Different models have …

The alpha rhythm is the longest-studied brain oscillation and has been theorized to play a
key role in cognition. Still, its physiology is poorly understood. In this study, we used …

Noninvasive brain stimulation (NIBS) techniques, such as transcranial magnetic stimulation
or transcranial direct and alternating current stimulation, are advocated as measures to …

The large-scale organization of dynamical neural activity across cortex emerges through
long-range interactions among local circuits. We hypothesized that large-scale dynamics are …

While signatures of attention have been extensively studied in sensory systems, the neural
sources and computations responsible for top-down control of attention are largely …