Author

Charlotte Arlt

Harvard UniversityORCID 0000-0002-1467-6592Unclaimed 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· 3 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 Approach:experimental assay· 1

Frequent Co-Authors

Christopher D. HarveyiD· 3 shared Kanaka RajaniD· 2 shared Siyan ZhouiD· 2 shared Sofia SoaresiD· 2 shared Aaron S. Andalman· 1 shared Carissa A. BrunoiD· 1 shared Clayton P. MosheriD· 1 shared Eugene Carter· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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3 shared papersNeuroscience

Christopher D. HarveyORCID

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3 papers

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

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

Siyan Zhou, Ryan P. Badman, Charlotte Arlt, Kanaka Rajan, 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.

bioRxiv · Mar 5, 2026 · PreprintNeuroscience

Cognitive experience alters cortical involvement in navigation decisions

Charlotte Arlt, Roberto Barroso-Luque, Shinichiro Kira, Carissa A. Bruno, Ningjing Xia, Selmaan N. Chettih, Sofia Soares, Noah L. Pettit, Christopher D. Harvey

The paper shows that mice with different cognitive experiences use distinct cortical areas and neural activity patterns for navigation decisions, highlighting past learning as a key factor in determining cortical necessity for decision-making.

eLife · Jun 23, 2022Peer-reviewedNeuroscience