Stochastic model and neural coding of large-scale neuronal population with variable coupling strength

Neurocomputing

Volumn 69, Issue 7-9 SPEC. ISS., 2006, Pages 778-785

  Wang, Rubin ^a,b   Jiao, Xianfa ^b,c  

^a EAST CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b DONGHUA UNIVERSITY   (China)

^c HEFEI UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Average number density; Evolution model; Neuronal population; The effect of learning; Variable coupling strength

Indexed keywords

COMPUTER SIMULATION; EVOLUTIONARY ALGORITHMS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; RANDOM PROCESSES; SYNCHRONIZATION;

AVERAGE NUMBER DENSITY; EVOLUTION MODEL; LEARNING EFFECT; NEURONAL POPULATION; VARIABLE COUPLING STRENGTH;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BRAIN COMPUTER INTERFACE; CELL DENSITY; COMPUTER PROGRAM; COMPUTER SIMULATION; HUMAN; HUMAN COMPUTER INTERACTION; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; NERVE CELL NETWORK; NERVE CONDUCTION; PRIORITY JOURNAL; SIGNAL NOISE RATIO; STOCHASTIC MODEL;

EID: 32644433417     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2005.05.010     Document Type: Article

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