Oscillatory neural network model of attention focus formation and control.
A new mechanism to control attention focus formation and switching in the model of selective attention is suggested and studied. The model is based on an oscillatory neural network (ONN) with the star-like architecture and phase shifts in connections between oscillators. Attention is modelled as a dynamical mode of partial synchronisation between a particular subgroup of oscillators and the central oscillator (CO). A new theoretical method to study full and partial synchronisation in the system is presented. Equations for the frequency of synchronisation are derived which allow the programming of the dynamical behaviour of the system depending on the parameters. In particular, we show that phase shifts in connections between oscillators provide an efficient mechanism of attention control.
Centre for Neural and Adaptive Systems, School of Computing, University of Plymouth, Drake Circus, Plymouth PL4 8AA, UK. Borisyuk@soc.plym.ac.uk
Roman M
RM
Borisyuk
Yakov B
YB
Kazanovich
D001288:Attention / Q000502:physiology*; D006801:Humans; D008433:Mathematics; D016571:Neural Networks, Computer; D009991:Oscillometry