A computational neuroscience model of working memory with application to robot perceptual learning

Proceedings of the 3rd IASTED International Conference on Computational Intelligence, CI 2007

Volumn , Issue , 2007, Pages 120-127

  Tugcu, M ^a   Wang, X ^a   Hunter, J E ^a   Phillips, J ^b   Noelle, D ^b   Wilkes, D M ^a  

^a VANDERBILT UNIVERSITY   (United States)

^b Embedded Systems and Automation Laboratory   (United States)

Author keywords

Computer vision; Learning; Perception; Working memory

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; EDUCATION; IMAGE PROCESSING; INTELLIGENT CONTROL; NEURAL NETWORKS; ROBOTICS; ROBOTS;

COMPUTATIONAL NEUROSCIENCES; EFFICIENT; FOCUS OF ATTENTIONS; FRONTAL CORTICES; IMPRESSIVE PERFORMANCES; LANDMARK DETECTIONS; LEARNING; LIMITED RESOURCES; PERCEPTION; PERCEPTUAL LEARNINGS; ROBOT VISIONS; WORKING MEMORIES; WORKING MEMORY;

KNOWLEDGE BASED SYSTEMS;

EID: 54949084570     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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