Biologically inspired means for rank-order encoding images: A quantitative analysis

IEEE Transactions on Neural Networks

Volumn 21, Issue 7, 2010, Pages 1087-1099

  Bhattacharya, Basabdatta Sen ^a   Furber, Stephen B ^b  

^a UNIVERSITY OF ULSTER   (United Kingdom)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Ganglion cell; lateral inhibition; perceptually important information; rank order codes; retinal model

Indexed keywords

BASIS VECTOR; BIOLOGICALLY INSPIRED; DATA REDUNDANCY; ENCODING IMAGES; GANGLION CELLS; INFORMATION RECOVERY; LATERAL INHIBITION; LAYER STRUCTURES; OVERLAP CORRECTION; QUANTITATIVE ANALYSIS; RETINAL GANGLION CELLS; SENSORY NEURONS;

FOCUSING; IMAGE CODING; NEURONS; OPHTHALMOLOGY; RECOVERY;

BIOINFORMATICS;

ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; CYTOLOGY; DIAGNOSTIC IMAGING; IMAGE PROCESSING; INFORMATION RETRIEVAL; METHODOLOGY; NERVE CELL INHIBITION; PHYSIOLOGY; PRIMATE; REPRODUCIBILITY; RETINA; RETINA FOVEA; RETINA GANGLION CELL; VISUAL SYSTEM;

ALGORITHMS; ANIMALS; DIAGNOSTIC IMAGING; FOVEA CENTRALIS; IMAGE PROCESSING, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MODELS, NEUROLOGICAL; NEURAL INHIBITION; NEURAL NETWORKS (COMPUTER); PRIMATES; REPRODUCIBILITY OF RESULTS; RETINA; RETINAL GANGLION CELLS; VISUAL PATHWAYS;

EID: 77954562913     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2010.2048339     Document Type: Article

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