Author

Dat T. Tran

Baylor College of Medicine

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Neuroscience· 2

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Approach:deep learning· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Assay:imaging· 1 Organism:non-human primate· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Alexander S. EckeriD· 2 shared Andreas Savas ToliasiD· 2 shared Eric Y. WangiD· 2 shared Fabian H. SinziD· 2 shared Jacob ReimeriD· 2 shared Jiakun FuiD· 2 shared Katrin FrankeiD· 2 shared Kayla PonderiD· 2 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Alexander S. EckerORCID

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2 papers

Recent·Most cited

Bipartite invariance in mouse primary visual cortex

Zhiwei Ding, Dat T. Tran, Kayla Ponder, Erick Cobos, Zhuokun Ding, Paul G. Fahey, Eric Y. Wang, Taliah Muhammad, Jiakun Fu, Santiago A. Cadena, Stelios Papadopoulos, Saumil Surendra Patel, Katrin Franke, Jacob Reimer, Fabian H. Sinz, , Andreas Savas Tolias

The paper identifies a novel bipartite invariance in mouse V1 neurons, where receptive fields encode shift-invariant high-frequency textures and fixed low-frequency patterns, contributing to segmentation.

bioRxiv · Mar 15, 2023 · PreprintNeuroscience

Pattern completion and disruption characterize contextual modulation in the visual cortex

Jiakun Fu, Suhas Shrinivasan, Luca Baroni, Zhuokun Ding, Paul G. Fahey, Paweł A. Pierzchlewicz, Kayla Ponder, Rachel Froebe, Lydia Ntanavara, Taliah Muhammad, Konstantin F. Willeke, Eric Y. Wang, Zhiwei Ding, Dat T. Tran, Stelios Papadopoulos, , Katrin Franke

The paper uses CNNs to analyze contextual modulation in visual cortex by synthesizing surround patterns, finding that pattern completion enhances responses while disruption suppresses them, consistent across mice and macaques.

bioRxiv · Mar 13, 2023 · PreprintNeuroscience