As the brain transitions from wakefulness to sleep, processing of external information
diminishes while restorative processes, such as glymphatic removal of waste products, are …

The purpose of hyperspectral anomaly detection is to distinguish abnormal objects from the
surrounding background. In actual scenes, however, the complexity of ground objects, the …

Rich spatiotemporal dynamics of cortical activity, including complex and diverse wave
patterns, have been identified during unconscious and conscious brain states. Yet, how …

The ability of different groups of cortical neurons to engage in causal interactions that are at
once differentiated and integrated results in complex dynamic patterns. Complexity is low …

The slow oscillation is a synchronized network activity expressed by the cortical network in
slow wave sleep and under anesthesia. Waking up requires a transition from this …

Slow oscillations are a pattern of synchronized network activity generated by the cerebral
cortex. They consist of Up and Down states, which are periods of activity interspersed with …

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

Brain states, such as wake, sleep, or different depths of anesthesia are usually assessed
using electrophysiological techniques, such as the local field potential (LFP) or the …

Experimental and clinical studies of consciousness identify brain states (ie quasi-stable
functional cerebral organization) in a non-systematic manner and largely independent of the …

The brain can efficiently learn a wide range of tasks, motivating the search for biologically
inspired learning rules for improving current artificial intelligence technology. Most biological …