Author

Di Fu

Purdue University West LafayettePrimary ORCID profile (0000-0002-5385-2982 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Di FuiD1 paper · University of Surrey

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:deconvolution· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:imaging· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Haiguang Wen· 1 shared Junxing ShiiD· 1 shared Kuan HaniD· 1 shared Kun‐Han LuiD· 1 shared Yizhen ZhangiD· 1 shared Zhongming LiuiD· 1 shared

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2019-2019 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperNeuroscience

Haiguang Wen

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1 paper

Recent·Most cited

Variational Autoencoder: An Unsupervised Model for Modeling and Decoding fMRI Activity in Visual Cortex

Kuan Han, Haiguang Wen, Junxing Shi, Kun‐Han Lu, Yizhen Zhang, Di Fu, Zhongming Liu

This paper uses a variational autoencoder to model and decode fMRI activity in the visual cortex, finding lower prediction accuracy compared to CNNs but successful decoding of latent variables.

NeuroImage · May 16, 2019Peer-reviewedNeuroscience