Notions of Intuition and Attention Modeled by a Hierarchically Arranged Generalized Regression Neural Network

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 34, Issue 1, 2004, Pages 200-209

  Hoya, Tetsuya ^a  

^a Laboratory for Advanced Brain Signal Processing   (Japan)

Author keywords

Attention; Generalized regression neural networks; Intuition; Psychological functions

Indexed keywords

COMPUTER SIMULATION; DIGITAL SIGNAL PROCESSING; PATTERN RECOGNITION; PSYCHOLOGY COMPUTING; REGRESSION ANALYSIS; ROBOTS; VECTORS;

ATTENTION; GENERALIZED REGRESSION NEURAL NETWORKS; INTUITION; PSYCHOLOGICAL FUNCTIONS;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; ATTENTION; BIOLOGICAL MODEL; BRAIN; COMPUTER SIMULATION; CONSCIOUSNESS; EVALUATION; HUMAN; INTUITION; PHYSIOLOGY; PSYCHOLOGICAL MODEL; REGRESSION ANALYSIS;

ATTENTION; BRAIN; COMPUTER SIMULATION; CONSCIOUSNESS; HUMANS; INTUITION; MODELS, NEUROLOGICAL; MODELS, PSYCHOLOGICAL; NEURAL NETWORKS (COMPUTER); REGRESSION ANALYSIS;

EID: 0742324907     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2003.811758     Document Type: Article

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