Title :
Simulations of attention control models in sensory and motor paradigms
Author :
Taylor, J.G. ; Fragopanagos, N.
Author_Institution :
Dept. of Math., King´´s Coll., London, UK
Abstract :
In this paper we demonstrate the applicability of engineering control theory to modelling attentional control over motor actions. We draw support for this approach from recent global brain imaging experiments that report the existence of a distinct attentional control network, sited in prefrontal and parietal cortical areas. This network is also suggested to comprise dissociable components dedicated to different modalities of attention (e.g. visual, motor). Based on these findings, a control model is developed which is employed to account for experimental data documented in visuo-motor tasks and, in particular, the reaction times recorded therein.
Keywords :
biocontrol; biomedical imaging; brain models; cognitive systems; neurophysiology; physiological models; visual perception; attention control models simulation; attentional control network; dissociable components; engineering control theory application; global brain imaging experiments; motor actions; motor paradigms; reaction times; sensory paradigms; visuo-motor tasks; Acceleration; Brain modeling; Control theory; Educational institutions; Magnetic stimulation; Mathematical model; Mathematics; Optical fiber sensors; Pressing; Signal processing;
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
Print_ISBN :
0-7803-7898-9
DOI :
10.1109/IJCNN.2003.1223361