Artificial intelligence deciphers codes for color and odor perceptions based on large-scale chemoinformatic data | Zendy

Xiayin Zhang | Zendy; Kai Zhang | Zendy; Duoru Lin | Zendy; Yi Zhu | Zendy; Chuan Chen | Zendy; Lin He | Zendy; Xusen Guo | Zendy; Kexin Chen | Zendy; Ruixin Wang | Zendy; Zhenzhen Liu | Zendy; Xiaohang Wu | Zendy; Erping Long | Zendy; Kai Huang | Zendy; Zhiqiang He | Zendy; Xiyang Liu | Zendy; Haotian Lin | Zendy

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Artificial intelligence deciphers codes for color and odor perceptions based on large-scale chemoinformatic data

Author(s) -

Xiayin Zhang,

Kai Zhang,

Duoru Lin,

Yi Zhu,

Chuan Chen,

Lin He,

Xusen Guo,

Kexin Chen,

Ruixin Wang,

Zhenzhen Liu,

Xiaohang Wu,

Erping Long,

Kai Huang,

Zhiqiang He,

Xiyang Liu,

Haotian Lin

Publication year - 2020

Publication title -

gigascience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.947

H-Index - 54

ISSN - 2047-217X

DOI - 10.1093/gigascience/giaa011

Subject(s) - odor , artificial intelligence , random forest , coding (social sciences) , perception , pattern recognition (psychology) , color coding , computer science , correlation , mathematics , chemistry , psychology , statistics , organic chemistry , neuroscience , geometry

Color vision is the ability to detect, distinguish, and analyze the wavelength distributions of light independent of the total intensity. It mediates the interaction between an organism and its environment from multiple important aspects. However, the physicochemical basis of color coding has not been explored completely, and how color perception is integrated with other sensory input, typically odor, is unclear.

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