Author

Maho Sasaki

DataJoint NEURO (United States)

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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Research Focus:software / tool· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Organism:mouse· 1

Frequent Co-Authors

Alberto PezzottaiD· 1 shared Alex Pan Vazquez· 1 shared Alexandre PougetiD· 1 shared Andreas Savas ToliasiD· 1 shared Anne E UraiiD· 1 shared Anne K. ChurchlandiD· 1 shared Anthony M. ZadoriD· 1 shared Anup KhanaliD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperNeuroscience

Alberto PezzottaORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Data architecture for a large-scale neuroscience collaboration

Luigi Acerbi, Valeria Aguillon-Rodriguez, Mandana Ahmadi, Jaweria Amjad, Dora E. Angelaki, Jaime Arlandis, Zoe C. Ashwood, Kush Banga, Hailey Barrell, Hannah M. Bayer, Julius Benson, Brandon Benson, Jai Bhagat, Daniel Birman, Kcénia Bougrova, , Michael M. Schartner

The paper describes a modular data architecture for a neuroscience collaboration, enabling data contribution, access, and analysis across multiple labs.

Nature Methods · Mar 1, 2023Peer-reviewedNeuroscience

DataJoint Elements: Data Workflows for Neurophysiology

Dimitri Yatsenko, Thinh P. Nguyen, Shan Shen, Kabilar Gunalan, Christopher A. Turner, Raphael Guzman, Maho Sasaki, Daniel Sitonic, Jacob Reimer, Edgar Y. Walker, Andreas Savas Tolias

The paper introduces DataJoint Elements, a resource providing modular workflow designs for organizing data and computations in neurophysiology experiments.

bioRxiv · Mar 30, 2021 · PreprintNeuroscience