%0 Conference Proceedings
%T Research and Application Analysis of Feature Binding Mechanism
%+ China University of Mining and Technology (CUMT)
%+ Institute of Computing Technology [Beijing] (ICT)
%A Han, Youzhen
%A Ding, Shifei
%Z Part 4: Multi-agent Systems
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 8th International Conference on Intelligent Information Processing (IIP)
%C Hangzhou, China
%Y Zhongzhi Shi
%Y Zhaohui Wu
%Y David Leake
%Y Uli Sattler
%I Springer
%3 Intelligent Information Processing VII
%V AICT-432
%P 133-140
%8 2014-10-17
%D 2014
%R 10.1007/978-3-662-44980-6_15
%K feature binding
%K vision perception
%K perceptual learning
%K synchronous neural oscillations
%K γ-band oscillations
%K cognitive neuroscience
%Z Computer Science [cs]Conference papers
%X In order to recognize the object of the external world, brain need to integrate the information of different cortical areas, then form a complete world. And binding problem study on a process to percept a complete object by integrating information, which scattering on different cortical areas. As a central problem of cognitive science and neuroscience, the concept of feature binding is becoming to the focus of consciousness argument. At the beginning of this paper, we introduced the concept, characteristics and theory source of feature binding. And according to the main theoretical research methods of this mechanism, combining the latest advance at home and abroad, we made a systematical review of the research situation of feature binding problem applying in perceptual learning. At last, we pointed out the key point of the further study, which may be refined research of bundled brain mechanism on different cognition process and systematical study of general bundled brain mechanism.
%G English
%Z TC 12
%2 https://inria.hal.science/hal-01383326/document
%2 https://inria.hal.science/hal-01383326/file/978-3-662-44980-6_15_Chapter.pdf
%L hal-01383326
%U https://inria.hal.science/hal-01383326
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-AICT-432
%~ IFIP-TC12
%~ IFIP-IIP