SCAN: A scalable model of attentional selection

Neural Networks

Volumn 10, Issue 6, 1997, Pages 993-1015

  Postma, Eric O ^a   Van Den Herik, H Jaap ^a   Hudson, Patrick T W ^a  

^a NONE

Author keywords

Adaptive resonance theory networks; Brain inspired modelling; Covert attention; Neural networks; Pattern routing; Scalable architectures; Translation invariance; Vision

Indexed keywords

BRAIN MODELS; COMPUTER SIMULATION; COMPUTER VISION; FRACTALS; HIERARCHICAL SYSTEMS; MATHEMATICAL MODELS; OBJECT RECOGNITION;

ADAPTIVE RESONANCE THEORY NETWORKS; COVERT ATTENTION; ISING LATTICE; SIGNAL CHANNELLING ATTENTIONAL NETWORK (SCAN);

NEURAL NETWORKS;

ARTICLE; ATTENTION; CELL ACTIVITY; EYE MOVEMENT; NERVE CELL NETWORK; PRIORITY JOURNAL; STATISTICAL ANALYSIS; VISUAL SYSTEM;

EID: 0031213725     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(97)00034-8     Document Type: Article

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