Author

Hyodong Lee

Massachusetts Institute of TechnologyORCID 0000-0001-8180-1210Unclaimed 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 Organism:non-human primate· 2

Frequent Co-Authors

Daniel L. K. YaminsiD· 2 shared Eshed MargalitiD· 2 shared James J. DiCarloiD· 2 shared Dawn FinziiD· 1 shared Kalanit Grill-spector AiD· 1 shared Kamila Maria JozwikiD· 1 shared Michael A. CoheniD· 1 shared Nancy KanwisheriD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 22 mutual co-author links

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2 shared papersNeuroscience

Daniel L. K. YaminsORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintMay 18, 2023

A Unifying Principle for the Functional Organization of Visual Cortex

Eshed Margalit, Hyodong Lee, Dawn Finzi…·Daniel L. K. Yamins

This paper introduces TDANN, a model that predicts functional organization in primate visual cortex by balancing task-general representation and spatial smoothness, showing improved brain-like representations and applications in prosthetic design.

12 citations

non-human primatedeep learning

𝕏 PostBluesky

NeurosciencebioRxivPreprintJul 9, 2020

Topographic deep artificial neural networks reproduce the hallmarks of the primate inferior temporal cortex face processing network

Hyodong Lee, Eshed Margalit, Kamila Maria Jozwik…·James J. DiCarlo

Adding a wiring-length penalty to object-recognition training makes model inferior-temporal layers grow face-selective units, face patches, inter-patch connectivity and viewpoint invariance, but only under naturalistic training input.

50 citations

non-human primatedeep learning

𝕏 PostBluesky