Author

Sahara Ensley

Washington University in St. Louis

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

Signature Assays, Organisms & Methods

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Organism:mouse· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Aidan M SchneideriD· 2 shared Eva L. DyeriD· 2 shared Keith B. HengeniD· 2 shared Kiran Bhaskaran‐Nair· 2 shared Chao WangiD· 1 shared Clayton A. Farris· 1 shared David F. ParksiD· 1 shared David M. HoltzmaniD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersNeuroscience

Aidan M SchneiderORCID

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2 papers

Recent·Most cited

Tauopathy severely disrupts homeostatic set-points in emergent neural dynamics but not in the activity of individual neurons.

James N. McGregor, Clayton A. Farris, Sahara Ensley, Aidan M Schneider, Chao Wang, Yuqi Liu, Jianhong Tu, Halla Elmore, Keenan D. Ronayne, Ralf Weßel, Eva L. Dyer, Kiran Bhaskaran‐Nair, David M. Holtzman, Keith B. Hengen

This study shows that tauopathy disrupts network-level homeostatic set-points in hippocampal activity but not individual neuron activity, with implications for computational capacity and behavior.

bioRxiv · Sep 1, 2023 · PreprintNeuroscience

Transcriptomic cell type structures in vivo neuronal activity across multiple time scales.

Aidan M Schneider, Mehdi Azabou, Louis McDougall-Vigier, David F. Parks, Sahara Ensley, Kiran Bhaskaran‐Nair, Tomasz Jan Nowakowski, Eva L. Dyer, Keith B. Hengen

The paper investigates whether transcriptomic cell type can be inferred from neuronal activity timing across multiple time scales using deep learning.

Cell Reports · Mar 29, 2023Peer-reviewedNeuroscience