Author

David E. Chen Kersen

University of PennsylvaniaORCID 0000-0003-4292-5100Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Gaia TavoniiD· 2 shared Vijay BalasubramanianiD· 2 shared

Activity by Year

2021-2022 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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2 shared papersNeuroscience

Gaia TavoniORCID

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2 papers

Recent·Most cited

NeurosciencePLoS Computational BiologyPeer-reviewedFeb 7, 2022

Connectivity and dynamics in the olfactory bulb

David E. Chen Kersen, Gaia Tavoni, Vijay Balasubramanian

The paper develops a large-scale computational model of the olfactory bulb network, showing how connectivity and dynamics shape odor processing and perception.

17 citations

mouseelectronic health records

𝕏 PostBluesky

NeurosciencePLoS Computational BiologyPeer-reviewedOct 11, 2021

Cortical feedback and gating in odor discrimination and generalization

Gaia Tavoni, David E. Chen Kersen, Vijay Balasubramanian

The paper proposes a statistical mechanism for how context changes odor perception through feedback and cortical gating, predicting convergence and divergence trends based on odor similarity.

4 citations

statistical model

𝕏 PostBluesky