Author

Shuqi Wang

École Polytechnique Fédérale de Lausanne

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Biology Disciplines

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Neuroscience· 1

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Research Focus:cell type annotation· 1 Assay:electronic health records· 1 Organism:mouse· 1 Approach:statistical model· 1

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Liam PaninskiiD· 1 shared Lorenzo PosaniiD· 1 shared Samuel P. MuscinelliiD· 1 shared Stefano FusiiD· 1 shared

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2024-2024 · peak 1/yr

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1 shared paperNeuroscience

Liam PaninskiORCID

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1 paper

Recent·Most cited

Rarely categorical and highly separable: how neural representations change along the cortical hierarchy

Lorenzo Posani, Shuqi Wang, Samuel P. Muscinelli, Liam Paninski, Stefano Fusi

The paper analyzes neural representations across the cortical hierarchy and finds that while categorical encoding is rare within regions, overall cortical structure supports categorical organization and maximal separability.

bioRxiv · Nov 15, 2024 · PreprintNeuroscience