Oscillatory network model of the brain visual cortex with controlled synchronization

Oscillatory network for modelling of synchronization-based functioning of the brain visual cortex is presented. Single network oscillator, imitating the behavior of simple cells of the visual cortex, demonstrates stimulus-dependent intrinsic dynamics-stable oscillations or quick relaxation. Three-dimensional spatial architecture of the network simulates the columnar structure of the visual cortex. Nonlinear nonlocal dynamical interaction of oscillators depends on instantaneous oscillator activities and orientations of receptive fields. Two-dimensional averaged network of idealized oscillator-columns is extracted. The model demonstrates controlled synchronization of image-dependent clusters of oscillatory network and self-controlled suppression of noisy background.