Abstract and Keywords
Large-scale brain networks constitute the highest level of integration in the visual processing hierarchy. Patterns of correlated activity in these networks reflect the functional topography of communicating areas. The authors studied the dynamics of coherent spontaneous and evoked brain activity using human scalp-recorded electroencephalograms (EEG). In the spontaneous activity, the dynamics of coherent intervals is characterized by chaotic itinerancy that provides the brain with flexibility of response to varieties of stimuli. In the evoked activity, duration of the coherent intervals is associated with the amount of visual pattern information in a stimulus. The authors propose that the coherent intervals reflect open temporal windows of communication in which information transfers within the brain. At the level of large-scale brain networks, the opened window may facilitate cooperation of various visual functions and result in perceptual organization.
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