Author

Cheshta Bhatia

Harvard University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Organism:non-human primate· 1 Research Focus:synaptic & neural circuits· 1

Frequent Co-Authors

Daniel J. MitchelliD· 1 shared John DuncaniD· 1 shared Lucy LaiiD· 1 shared Makoto Kusunoki AiD· 1 shared Mark J. BuckleyiD· 1 shared Mikiko KadohisaiD· 1 shared Samuel Joseph GershmaniD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 11 mutual co-author links

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1 shared paperNeuroscience

Daniel J. MitchellORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintSep 12, 2026

Policy regularization as a unifying theory of the striatal division of labor in learning

Cheshta Bhatia, Samuel Joseph Gershman, Lucy Lai

This paper proposes policy regularization as a computational framework to explain the functional division between dorsolateral and dorsomedial striatum in learning, showing it unifies multiple behavioral tasks.

DOI 10.64898/2026.09.10.750654

deep learningstatistical model

𝕏 PostBluesky

NeurosciencePNAS NexusPeer-reviewedAug 29, 2026

Attentional selection drives information convergence within macaque lateral prefrontal cortex

Daniel J. Mitchell, Mikiko Kadohisa, Makoto Kusunoki A…·John Duncan

The paper examines bidirectional information convergence between dorsal and ventral LPFC during attentional selection, showing it is specific to the choice phase of a task.

DOI 10.1093/pnasnexus/pgag311

non-human primateelectronic health records

𝕏 PostBluesky