Author

Rob Young

Allen Institute for Brain Science

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

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Neuroscience· 5

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Organism:mouse· 5 Assay:electronic health records· 3 Approach:experimental assay· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:cell type annotation· 2 Research Focus:database / resource· 2 Assay:spatial transcriptomics· 2

Frequent Co-Authors

Cliff SlaughterbeckiD· 3 shared Colin FarrelliD· 3 shared Lydia NgiD· 3 shared R. Clay ReidiD· 3 shared Timothy P. FlissiD· 3 shared Amy BernardiD· 2 shared Anton S. ArkhipoviD· 2 shared Arielle LeoniD· 2 shared

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2019-2025 · peak 1/yr

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10 top collaborators · 41 mutual co-author links

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3 shared papersNeuroscience

Cliff SlaughterbeckORCID

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5 papers

Recent·Most cited

Functional connectomics spanning multiple areas of mouse visual cortex

J. Alexander Bae, Mahaly Baptiste, Maya R. Baptiste, Caitlyn A. Bishop, Ágnes L. Bodor, Derrick Brittain, Victoria Brooks, JoAnn Buchanan, Daniel J. Bumbarger, Manuel Castro, Brendan Celii, Erick Cobos, Forrest Collman, Nuno Maçarico da Costa, Bethanny P. Danskin, , Chi Zhang

The paper presents a functional connectomics dataset of mouse visual cortex, combining calcium imaging with EM reconstruction to study neural circuits and their connectivity.

Nature · Apr 9, 2025Peer-reviewedNeuroscience

A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain

Zizhen Yao, Cindy T. J. van Velthoven, Michael Kunst, Meng Zhang, Delissa McMillen, Changkyu Lee, Won Jung, Jeff Goldy, Aliya Abdelhak, Matthew Aitken, Katherine S. Baker, Pamela M. Baker, Eliza R. Barkan, Darren Bertagnolli, Ashwin A. Bhandiwad, , Xiaowei Zhuang

This paper creates a high-resolution transcriptomic and spatial cell type atlas of the whole adult mouse brain, revealing spatial organization and transcription factor codes for cell types.

Nature · Dec 13, 2023Peer-reviewedNeuroscience

A Scalable and Modular Automated Pipeline for Stitching of Large Electron Microscopy Datasets

Gayathri Mahalingam, Russel Torres, Daniel Kapner, Eric T. Trautman, Tim P. Fliss, Sharmishtaa Seshamani, Eric Perlman, Rob Young, Samuel Kinn, JoAnn Buchanan, Marc M. Takeno, Wenjing Yin, Daniel J. Bumbarger, Ryder P. Gwinn, Julie K. Nyhus, , Nuno Maçarico da Costa

The paper presents a scalable pipeline for assembling large electron microscopy datasets into 3D volumes, achieving high throughput and modular design for efficient processing.

eLife · Jul 26, 2022Peer-reviewedNeuroscience

A survey of spiking activity reveals a functional hierarchy of mouse corticothalamic visual areas

Joshua H. Siegle, Xiaoxuan Jia, Séverine Durand, Samuel D. Gale, Corbett Bennett, Nile Graddis, Greggory R. Heller, Tamina K. Ramirez, Hannah Choi, Jennifer Luviano, Peter A. Groblewski, Ruweida Ahmed, Anton S. Arkhipov, Amy Bernard, Yazan N. Billeh, , Christof Koch A

The paper presents a dataset and analysis of spiking activity across multiple mouse visual areas, revealing that functional connectivity mirrors anatomical hierarchy.

Nature · Jan 20, 2021Peer-reviewedNeuroscience

Classification of electrophysiological and morphological types in mouse visual cortex

Nathan W. Gouwens, Staci A. Sorensen, Jim Berg, Changkyu Lee, Tim Jarsky, Jonathan T. Ting, Susan M. Sunkin, David H. Feng, Costas A. Anastassiou, Eliza R. Barkan, Kris Bickley, Nicole Blesie, Thomas Braun, Krissy Brouner, Agata Budzillo, , Christof Koch A

The paper classifies neurons in mouse visual cortex into 17 electrophysiological and 35 morphological types using unsupervised methods and links them to transcriptomic types.

Nature Neuroscience · Jun 17, 2019Peer-reviewedNeuroscience