Oscillatory model of attention-guided object selection and novelty detection.
We develop a new oscillatory model that combines consecutive selection of objects and discrimination between new and familiar objects. The model works with visual information and fulfils the following operations: (1) separation of different objects according to their spatial connectivity; (2) consecutive selection of objects located in the visual field into the attention focus; (3) extraction of features; (4) representation of objects in working memory; (5) novelty detection of objects. The functioning of the model is based on two main principles: the synchronization of oscillators through phase-locking and resonant increase of the amplitudes of oscillators if they work in-phase with other oscillators. The results of computer simulation of the model are described for visual stimuli representing printed words.
Centre for Theoretical & Computational Neuroscience, University of Plymouth, Plymouth PL4 8AA, UK. rborisyuk@plymouth.ac.uk
Roman M
RM
Borisyuk
Yakov B
YB
Kazanovich
D001288:Attention / Q000502:physiology*; D003198:Computer Simulation; D004193:Discrimination Learning / Q000502:physiology*; D006801:Humans; D008433:Mathematics; D008568:Memory / Q000502:physiology; D008959:Models, Neurological; D010775:Photic Stimulation / Q000379:methods; D017603:Signal Detection, Psychological; D014796:Visual Perception / Q000502:physiology*