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The optimal odor-receptor interaction network is sparse in olfactory systems: Compressed sensing by nonlinear neurons with a finite dynamic range

View ORCID ProfileShanshan Qin, Qianyi Li, Chao Tang, Yuhai Tu
doi: https://doi.org/10.1101/464875
Shanshan Qin
1Center for Quantitative Biology, Peking University, Beijing, 100871, China
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Qianyi Li
2Yuanpei College, Peking University, Beijing, 100871, China
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Chao Tang
1Center for Quantitative Biology, Peking University, Beijing, 100871, China
3School of Physics, Peking University, Beijing 100871, China
4Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
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  • For correspondence: tangc@pku.edu.cn
Yuhai Tu
5IBM T. J. Watson Research Center, Yorktown Heights, New York 10598, USA
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  • For correspondence: yuhai@us.ibm.com
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Posted March 10, 2019.
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The optimal odor-receptor interaction network is sparse in olfactory systems: Compressed sensing by nonlinear neurons with a finite dynamic range
Shanshan Qin, Qianyi Li, Chao Tang, Yuhai Tu
bioRxiv 464875; doi: https://doi.org/10.1101/464875
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The optimal odor-receptor interaction network is sparse in olfactory systems: Compressed sensing by nonlinear neurons with a finite dynamic range
Shanshan Qin, Qianyi Li, Chao Tang, Yuhai Tu
bioRxiv 464875; doi: https://doi.org/10.1101/464875

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