Author

Fang Liu

Ministry of Education of the People's Republic of ChinaORCID 0000-0001-9752-9530Unclaimed ORCID profile · follow to get notified of new preprints

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Fang Liu13 papers · Chinese Academy of Sciences

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Neuroscience· 2

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Assay:imaging· 1 Organism:mouse· 1 Organism:non-human primate· 1

Frequent Co-Authors

Ming LiiD· 2 shared Shiming TangiD· 2 shared Tai Sing LeeiD· 2 shared Yimeng ZhangiD· 2 shared Hongfei Jiang· 1 shared Zhihao LiiD· 1 shared

Activity by Year

2018-2018 · peak 2/yr

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6 top collaborators · 15 mutual co-author links

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2 shared papersNeuroscience

Ming LiORCID

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2 papers

Recent·Most cited

Convolutional neural network models of V1 responses to complex patterns

Yimeng Zhang, Tai Sing Lee, Ming Li, Fang Liu, Shiming Tang

This study evaluates CNN models for modeling V1 neuron responses to complex patterns, finding that thresholding nonlinearity and convolution are key factors in their superior performance.

Journal of Computational Neuroscience · Jun 5, 2018Peer-reviewedNeuroscience

Large-scale two-photon imaging revealed super-sparse population codes in V1 superficial layer of awake monkeys

Shiming Tang, Yimeng Zhang, Zhihao Li, Ming Li, Fang Liu, Hongfei Jiang, Tai Sing Lee

This study uses two-photon imaging in awake monkeys to show that V1 superficial layer neurons exhibit super-sparse population codes, with only 0.5% responding strongly to any given image.

eLife · Apr 26, 2018Peer-reviewedNeuroscience