Title :
A computational model of attentional networks
Author :
Wang, H. ; Fan, J. ; Liang, H.L.
Author_Institution :
Center for Computational Biomedicine, Univ. of Texas Health Sci. Center, Houston, TX, USA
Abstract :
Attention is a complex system subserved by at least three interacting attentional networks in the brain. This paper describes a computational model of attentional networks, developed in the framework of leabra. We evaluated the model using attentional networks test and the simulation results fitted the behavioral data well. The model provides a computational explanation of how the three attentional networks work together to achieve the function of attention.
Keywords :
brain models; neural nets; neurophysiology; visual perception; alerting; attentional networks; brain; computational model; executive control; fitting behavioral data well; interacting attentional networks; leabra; local error-driven associative biologically realistic algorithm; orienting; visual neurophysiology; Biological system modeling; Biology computing; Biomedical computing; Brain modeling; Computational modeling; Computer networks; Neuroimaging; Object oriented modeling; Psychology; Testing;
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1053130
