Author

Siyan Zhou

Harvard UniversityORCID 0000-0002-8840-5066Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:mouse· 2 Approach:statistical model· 2 Research Focus:trajectory inference· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Organism:human· 1

Frequent Co-Authors

Charlotte ArltiD· 2 shared Christopher D. HarveyiD· 2 shared Kanaka RajaniD· 2 shared Aaron S. Andalman· 1 shared Clayton P. MosheriD· 1 shared Eugene Carter· 1 shared Juri MinxhaiD· 1 shared Karl A. DeisserothiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Charlotte ArltORCID

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2 papers

Recent·Most cited

NeuroscienceNeuronPeer-reviewedAug 1, 2026

Inferring brain-wide interactions using data-constrained recurrent neural network models

Matthew G. Perich, Charlotte Arlt, Sofia Soares…·Kanaka Rajan

This paper introduces CURBD, a method using data-constrained recurrent neural networks to infer brain-wide interactions from neural recordings across species.

59 citationstop 1%

mousehuman

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NeurosciencebioRxivPreprintMar 5, 2026

Data-derived agents reveal dynamical reservoirs in mouse cortex for adaptive behavior

Siyan Zhou, Ryan P. Badman, Charlotte Arlt…·Christopher D. Harvey

The paper uses data-derived agents to study neural dynamics in mouse cortex, revealing chaotic attractors that support robust and adaptable behavior.

DOI 10.64898/2026.03.03.709365

mousespatial transcriptomics

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