Author

Jintao Gu

New York University ShanghaiORCID 0000-0001-8693-6608Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Sukbin LimiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

1 paper

Recent·Most cited

NeurosciencePLoS Computational BiologyPeer-reviewedMay 2, 2022

Unsupervised learning for robust working memory

Jintao Gu, Sukbin Lim

This study investigates how differential and homeostatic plasticity rules can improve robustness of working memory models under network perturbations.

9 citations

statistical modelmachine learning (classical)

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