Learning invariant object recognition in the visual system with continuous transformations

Biological Cybernetics

Volumn 94, Issue 2, 2006, Pages 128-142

  Stringer, S M ^a   Perry, G ^a   Rolls, E T ^a   Proske, J H ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; OBJECT RECOGNITION; VISION;

POST SYNAPTIC NEURONS; TEMPORAL CONTINUITY; VISUAL SYSTEMS;

LEARNING SYSTEMS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER SIMULATION; CYTOLOGY; HUMAN; LEARNING; METHODOLOGY; NERVE CELL; PATTERN RECOGNITION; PHOTOSTIMULATION; PHYSIOLOGY; VISUAL SYSTEM;

COMPUTER SIMULATION; GENERALIZATION (PSYCHOLOGY); HUMANS; LEARNING; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); NEURONS; PATTERN RECOGNITION, AUTOMATED; PATTERN RECOGNITION, VISUAL; PHOTIC STIMULATION; VISUAL PATHWAYS;

EID: 31144437809     PISSN: 03401200     EISSN: 14320770     Source Type: Journal    
DOI: 10.1007/s00422-005-0030-z     Document Type: Article

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