Author

Jianghong Shi

University of WashingtonORCID 0000-0002-7817-2844Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:mouse· 3 Research Focus:benchmarking· 2 Approach:deep learning· 2 Assay:electronic health records· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Eric Shea‐BrowniD· 3 shared Michael A. BuiceiD· 3 shared Ştefan MihalaşiD· 3 shared Bryan TrippiD· 2 shared Ali WillifordiD· 1 shared Amy BernardiD· 1 shared Andrew ChoiD· 1 shared Arielle LeoniD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersNeuroscience

Eric Shea‐BrownORCID

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3 papers

Recent·Most cited

CNN MouseNet: A biologically constrained convolutional neural network model for mouse visual cortex

Jianghong Shi, Bryan Tripp, Eric Shea‐Brown, Ştefan Mihalaş, Michael A. Buice

The paper introduces MouseNet, a biologically constrained CNN model of the mouse visual cortex, and shows it achieves 2/3rds of VGG16's ImageNet performance while recapitulating neural representations.

PLoS Computational Biology · Sep 6, 2022Peer-reviewedNeuroscience

A Convolutional Network Architecture Driven by Mouse Neuroanatomical Data

Jianghong Shi, Michael A. Buice, Eric Shea‐Brown, Ştefan Mihalaş, Bryan Tripp

The paper introduces a convolutional neural network model of the mouse visual cortex constrained by neuroanatomical data and provides code for research.

bioRxiv · Oct 23, 2020 · PreprintNeuroscience

A large-scale, standardized physiological survey reveals higher order coding throughout the mouse visual cortex

Saskia E. J. de Vries, Jérôme A. Lecoq, Michael A. Buice, Peter A. Groblewski, Gabriel Koch Ocker, Michael Oliver, David H. Feng, Nicholas Cain, Peter Ledochowitsch, Daniel J. Millman, Kate Roll, Marina Garrett, Tom Keenan, Leonard Kuan, Ştefan Mihalaş, , Christof Koch A

The paper presents a large-scale dataset of neural activity in the mouse visual cortex and shows that responses to different stimuli are largely independent, suggesting multi-layer hierarchical computation.

Nature Neuroscience · Dec 16, 2019Peer-reviewedNeuroscience