Selforganizing memory: Active learning of landmarks used for navigation

Biological Cybernetics

Volumn 99, Issue 3, 2008, Pages 219-236

  Cruse, Holk ^a   Hübner, David ^a  

^a BIELEFELD UNIVERSITY   (Germany)

Author keywords

Mushroom bodies; Recurrent neural networks; Situation models

Indexed keywords

FAULT DETECTION;

ACTIVE LEARNING; BIOLOGICAL EXPERIMENTS; FEED-FORWARD NETWORKS; HEBBIAN LEARNING; MEMORY ARCHITECTURE; MEMORY STRUCTURES; MUSHROOM BODIES; PASSIVE DETECTION; PRE PROCESSORS; RECURRENT NEURAL NETWORKS; SELF-ORGANIZED; SENSOR DATA; SENSORY NOISE; SITUATION MODELING; SITUATION MODELS; TRAINED NETWORK;

EDUCATION;

ANIMALIA; BASIDIOMYCOTA; HEXAPODA;

ANIMAL; ANIMAL BEHAVIOR; ARTICLE; BIOLOGICAL MODEL; COMPUTER SIMULATION; DEPTH PERCEPTION; HUMAN; LEARNING; MEMORY; NERVE CELL NETWORK; PHYSIOLOGY;

ANIMALS; ASSOCIATION LEARNING; COMPUTER SIMULATION; HOMING BEHAVIOR; HUMANS; MEMORY; MODELS, NEUROLOGICAL; NERVE NET; SPACE PERCEPTION;

EID: 42449137599     PISSN: 03401200     EISSN: 14320770     Source Type: Journal    
DOI: 10.1007/s00422-008-0256-7     Document Type: Article

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