Author

Dongyan Lin

Mila - Quebec Artificial Intelligence InstituteORCID 0000-0002-8200-7999Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:cell type annotation· 1 Assay:electronic health records· 1 Organism:mouse· 1

Frequent Co-Authors

Blake A. RichardsiD· 2 shared Arna GhoshiD· 1 shared Erica CianfaranoiD· 1 shared James WilsenachiD· 1 shared Pouya BashivaniD· 1 shared Ronan V. da Silva· 1 shared Rudi TongiD· 1 shared Stuart TrenholmiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersNeuroscience

Blake A. RichardsORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintNov 3, 2023

The feature landscape of visual cortex

Rudi Tong, Ronan V. da Silva, Dongyan Lin…·Stuart Trenholm

The paper identifies visual feature preferences of neurons in mouse visual cortical areas using generative AI and closed-loop recordings, revealing how these preferences are organized to encode own-stimuli more effectively.

12 citations

mouseelectronic health records

𝕏 PostBluesky

NeurosciencebioRxivPreprintJul 15, 2021

Time cell encoding in deep reinforcement learning agents depends on mnemonic demands

Dongyan Lin, Blake A. Richards

This study shows that memory demands, not task temporal structure, are necessary for time cells to encode sensory information in DRL agents.

5 citations

deep learning

𝕏 PostBluesky