Properties of artificial networks evolved to contend with natural spectra

Proceedings of the National Academy of Sciences of the United States of America

Volumn 111, Issue SUPPL.3, 2014, Pages 10868-10872

  Morgenstern, Yaniv ^a   Rostami, Mohammad ^a   Purves, Dale ^a,b  

^a DUKE NUS MEDICAL SCHOOL   (Singapore)

^b DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Color vision; Empirical ranking; Perception; Receptive field; Simple networks

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN CELL; COLOR VISION; HUMAN; IMAGE ANALYSIS; NERVE CELL; NONHUMAN; PERCEPTION; PRESYNAPTIC POTENTIAL; PRIORITY JOURNAL; RECEPTIVE FIELD; REPRODUCTIVE SUCCESS; RETINA GANGLION CELL; RETINA IMAGE;

COLOR VISION; EMPIRICAL RANKING; PERCEPTION; RECEPTIVE FIELD; SIMPLE NETWORKS;

BIOLOGICAL EVOLUTION; COLOR; CORNEA; HUMANS; LIGHT; MODELS, NEUROLOGICAL; NERVE NET; NEURONS; PHOTIC STIMULATION; RETINA; SYNAPSES; VISUAL PERCEPTION;

EID: 84904630893     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1402669111     Document Type: Article

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