Title :
Complex word network model based on cognitive coupling states
Author :
Meng Shimin ; Li Zijiao ; Jiang Heqing ; Qiu Longxing
Author_Institution :
Math. & Comput. Dept., Wuyi Univ., Wuyishan, China
Abstract :
Assuming the brain state of English word to the existence of complex networks, Innovative brain cognition imaging methods and tools for word cognition, building a data analysis system, explore the complex network activity model of word. Cognitive coupling method is based on online research of models, dispose cognitive learning coupler on Man-machine interface, acquisition of cognitive symbol sequence data of learning word; The formation of the word topology base on word classification specification, definition of the word linear metric space, form the basis and platform on Complex word network of static structure and dynamic growth. Preliminary results of this study confirmed that Cognitive coupling is feasible way to Brain imaging of cognitive information.
Keywords :
brain; brain-computer interfaces; cognition; data analysis; pattern classification; English word; brain cognition imaging methods; brain state; cognitive coupling states; cognitive learning coupler; cognitive symbol sequence data; complex network activity model; complex word network model; data analysis system; dynamic growth; learning word; man-machine interface; static structure; word classification specification; word cognition; word topology; Analytical models; Brain modeling; Computational modeling; Computer architecture; Measurement; Software; Cognitive coupling states; Complex network; Dynamic system theory; Embodied cognition; Topology;
Conference_Titel :
Information Society (i-Society), 2012 International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4673-0838-0
