Author

Eugene Carter

Icahn School of Medicine at Mount Sinai

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· 1

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

Frequent Co-Authors

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

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Aaron S. Andalman

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1 paper

Recent·Most cited

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

Matthew G. Perich, Charlotte Arlt, Sofia Soares, Siyan Zhou, Manuel Beirán, Aaron S. Andalman, Tyler Benster, Megan E. Young, Clayton P. Mosher, Juri Minxha, Eugene Carter, Ueli Rutishauser, Peter H. Rudebeck, Christopher D. Harvey, Karl A. Deisseroth, Kanaka Rajan

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

Neuron · Aug 1, 2026Peer-reviewedNeuroscience