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Model parameters were tuned based on physiological and anatomical data from the primate foveal and parafoveal vision, the most relevant visual field areas for color vision. We exhaustively benchmarked the model against well-established chromatic and achromatic visual stimuli, showing spatial and temporal responses of the model to disk- and ring-shaped light flashes, spatially uniform squares and sine-wave gratings of varying spatial frequency. The spatiotemporal patterns of parvocellular cells and cortical cells are consistent with their classification into chromatically single-opponent and double-opponent groups, and nonopponent cells selective for luminance stimuli. The model was implemented in the widely used neural simulation tool NEST and released as open source software. The aim of our modeling is to provide a biologically realistic framework within which a broad range of neuronal interactions can be examined at several different levels, with a focus on understanding how color information is processed. <\/jats:p>","DOI":"10.1142\/s0129065718500363","type":"journal-article","created":{"date-parts":[[2018,7,31]],"date-time":"2018-07-31T01:56:42Z","timestamp":1533002202000},"page":"1850036","source":"Crossref","is-referenced-by-count":9,"title":["A Neuronal Network Model of the Primate Visual System: Color Mechanisms in the Retina, LGN and V1"],"prefix":"10.1142","volume":"29","author":[{"given":"Pablo","family":"Mart\u00ednez-Ca\u00f1ada","sequence":"first","affiliation":[{"name":"Department of Computer Architecture and Technology, University of Granada, Granada, Spain"},{"name":"Centro de Investigaci\u00f3n en Tecnolog\u00edas de la Informaci\u00f3n y de las Comunicaciones (CITIC), University of Granada, Granada, 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