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Texture synthesis models are important tools for understanding visual processing. In particular, statistical approaches based on neurally relevant features have been instrumental in understanding aspects of visual perception and of neural coding. New
Externí odkaz:
http://arxiv.org/abs/2006.03698
Akademický článek
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Autor:
Lugo Davila, Aida Alicia
Publikováno v:
E-Prints Complutense. Archivo Institucional de la UCM
instname
E-Prints Complutense: Archivo Institucional de la UCM
Universidad Complutense de Madrid
instname
E-Prints Complutense: Archivo Institucional de la UCM
Universidad Complutense de Madrid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5e7351fb7bf5b2df198414c641230134
https://eprints.ucm.es/id/eprint/22830/1/T34729.pdf
https://eprints.ucm.es/id/eprint/22830/1/T34729.pdf
Autor:
Vacher J; Albert Einstein College of Medicine, Dept. of Systems and Comp. Biology, 10461 Bronx, NY, USA., Davila A; Albert Einstein College of Medicine, Dominick P. Purpura Dept. of Neuroscience, 10461 Bronx, NY, USA., Kohn A; Albert Einstein College of Medicine, Dept. of Systems and Comp. Biology, and Dominick P. Purpura Dept. of Neuroscience, 10461 Bronx, NY, USA., Coen-Cagli R; Albert Einstein College of Medicine, Dept. of Systems and Comp. Biology, and Dominick P. Purpura Dept. of Neuroscience, 10461 Bronx, NY, USA.
Publikováno v:
Advances in neural information processing systems [Adv Neural Inf Process Syst] 2020 Dec; Vol. 33, pp. 22146-22157.
