A constrained evolutionary computation method for detecting controlling regions of cortical networks

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 9, Issue 6, 2012, Pages 1569-1581

  Tang, Yang ^a,b,c   Wang, Zidong ^d   Gao, Huijun ^a   Swift, Stephen ^d   Kurths, Jürgen ^b,c,e  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b HUMBOLDT UNIVERSITY   (Germany)

^c POTSDAM INSTITUTE FOR CLIMATE IMPACT RESEARCH   (Germany)

^d BRUNEL UNIVERSITY   (United Kingdom)

^e UNIVERSITY OF ABERDEEN   (United Kingdom)

Author keywords

Constrained optimization; Controllability; Cortical networks; Evolutionary computation; Synchronization

Indexed keywords

CONNECTION MATRICES; CONSTRAINED OPTIMI-ZATION PROBLEMS; CORTICAL NETWORK; DYNAMICS OF NETWORKS; GENETIC REGULATORY NETWORKS; INFORMATION CONSENSUS; OBJECTIVE FUNCTIONS; TRANSPORTATION NETWORK;

CONSTRAINED OPTIMIZATION; CONTROLLABILITY; EVOLUTIONARY ALGORITHMS; GRAPH THEORY; SYNCHRONIZATION;

CALCULATIONS;

ALGORITHM; ANIMAL; ARTICLE; BIOLOGICAL MODEL; BIOLOGY; BRAIN CORTEX; CAT; CLASSIFICATION; COMPUTER SIMULATION; METHODOLOGY; NERVE CELL NETWORK; PHYSIOLOGY;

ALGORITHMS; ANIMALS; CATS; CEREBRAL CORTEX; CLASSIFICATION; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; MODELS, NEUROLOGICAL; NERVE NET;

EID: 84876487674     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2012.124     Document Type: Article

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