Self-organized criticality (SOC) refers to the ability of complex systems to evolve toward a
second-order phase transition at which interactions between system components lead to …

During even the most quiescent behavioral periods, the cortex and thalamus express rich
spontaneous activity in the form of slow (< 1 Hz), synchronous network state transitions …

Slow oscillations have been suggested as the default emergent activity of the cortical
network. This is a low complexity state that integrates neuronal, synaptic, and connectivity …

Cortical neurons process information on a background of spontaneous, ongoing activity with
distinct spatiotemporal profiles defining different cortical states. During wakefulness, cortical …

Accurate population models are needed to build very large-scale neural models, but their
derivation is difficult for realistic networks of neurons, in particular when nonlinear properties …

Large scale transitions between active (up) and silent (down) states during quiet
wakefulness or NREM sleep regulate fundamental cortical functions and are known to …

Establishing a reliable communication interface between the brain and electronic devices is
of paramount importance for exploiting the full potential of neural prostheses. Current …

The qualities of perception depend not only on the sensory inputs but also on the brain state
before stimulus presentation. Although the collective evidence from neuroimaging studies …

The function of sleep remained one of largest enigmas of neuroscience for most of the 20th
century. However in recent years different evidence has accumulated in support of a critical …

Biological neural networks produce information backgrounds of multi-scale spontaneous
activity that become more complex in brain states displaying higher capacities for cognition …