Solving navigational uncertainty using grid cells on robots

PLoS Computational Biology

Volumn 6, Issue 11, 2010, Pages

  Milford, Michael J ^a,b   Wiles, Janet ^b   Wyeth, Gordon F ^a,b  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^b UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMALS; CALIBRATION; CELL ENGINEERING; CELLS; COMPUTATIONAL METHODS; CYTOLOGY; NAVIGATION SYSTEMS; UNCERTAINTY ANALYSIS;

GRID CELLS; INTEGRATION PROCESS; MULTIPLE ESTIMATES; NATURAL ENVIRONMENTS; PATH INTEGRATION; PERCEPTUAL AMBIGUITIES; PROBABILISTIC ESTIMATES; ROBOT POSE; SPATIAL REPRESENTATIONS; UNCERTAINTY;

ROBOTS;

ACCURACY; ANIMAL BEHAVIOR; ARTICLE; COMPUTER SYSTEM; CONTROLLED STUDY; ENTORHINAL CORTEX; MATHEMATICAL MODEL; ROBOTICS; SPATIAL DISCRIMINATION; STATISTICAL ANALYSIS; VISION; ANIMAL; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; CYTOLOGY; METHODOLOGY; PHYSIOLOGY; RAT; VISUAL FIELD;

ANIMALIA; MAMMALIA; RODENTIA;

ANIMALS; ENTORHINAL CORTEX; HOMING BEHAVIOR; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); RATS; ROBOTICS; VISUAL FIELDS;

EID: 78649676648     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000995     Document Type: Article

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