Document Detail


The universal fuzzy logical framework of neural circuits and its application in modeling primary visual cortex.
MedLine Citation:
PMID:  18815754     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Analytical study of large-scale nonlinear neural circuits is a difficult task. Here we analyze the function of neural systems by probing the fuzzy logical framework of the neural cells' dynamical equations. Although there is a close relation between the theories of fuzzy logical systems and neural systems and many papers investigate this subject, most investigations focus on finding new functions of neural systems by hybridizing fuzzy logical and neural system. In this paper, the fuzzy logical framework of neural cells is used to understand the nonlinear dynamic attributes of a common neural system by abstracting the fuzzy logical framework of a neural cell. Our analysis enables the educated design of network models for classes of computation. As an example, a recurrent network model of the primary visual cortex has been built and tested using this approach.
Authors:
Hong Hu; Su Li; YunJiu Wang; XiangLin Qi; ZhongZhi Shi
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2008-09-26
Journal Detail:
Title:  Science in China. Series C, Life sciences / Chinese Academy of Sciences     Volume:  51     ISSN:  1006-9305     ISO Abbreviation:  Sci. China, C, Life Sci.     Publication Date:  2008 Oct 
Date Detail:
Created Date:  2008-09-25     Completed Date:  2008-12-24     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9611809     Medline TA:  Sci China C Life Sci     Country:  China    
Other Details:
Languages:  eng     Pagination:  902-12     Citation Subset:  IM    
Affiliation:
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100080, China. huhong@ics.ict.ac.cn
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MeSH Terms
Descriptor/Qualifier:
Fuzzy Logic*
Models, Neurological*
Neurons / physiology*
Visual Cortex / physiology*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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