Unsupervised learning of cone spectral classes from natural images.
Ontology highlight
ABSTRACT:
SUBMITTER: Benson NC
PROVIDER: S-EPMC4072515 | biostudies-literature | 2014 Jun
REPOSITORIES: biostudies-literature
Publications
Unsupervised learning of cone spectral classes from natural images.
Benson Noah C NC Manning Jeremy R JR Brainard David H DH
PLoS computational biology 20140626 6
The first step in the evolution of primate trichromatic color vision was the expression of a third cone class not present in ancestral mammals. This observation motivates a fundamental question about the evolution of any sensory system: how is it possible to detect and exploit the presence of a novel sensory class? We explore this question in the context of primate color vision. We present an unsupervised learning algorithm capable of both detecting the number of spectral cone classes in a retin ...[more]
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