Jordan Matelsky
Affiliations: | 2016- | Research & Exploratory Development | Johns Hopkins University Applied Physics Laboratory |
| 2021- | Bioengineering | University of Pennsylvania, Philadelphia, PA, United States |
Area:
Computational neuroscience, network connectomicsWebsite:
https://jordan.matelsky.comGoogle:
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Parents
Sign in to add mentor| Konrad P. Kording | grad student | 2021- | Penn |
| Brock Wester | research scientist | 2016- | Johns Hopkins Applied Physics Laboratory |
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Publications
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| Joyce J, Chalavadi R, Chan J, et al. (2023) A Novel Semi-automated Proofreading and Mesh Error Detection Pipeline for Neuron Extension. Biorxiv : the Preprint Server For Biology |
| Troidl J, Warchol S, Choi J, et al. (2023) Vimo - Visual Analysis of Neuronal Connectivity Motifs. Ieee Transactions On Visualization and Computer Graphics |
| Hider R, Kleissas D, Gion T, et al. (2022) The Brain Observatory Storage Service and Database (BossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery. Frontiers in Neuroinformatics. 16: 828787 |
| Bishop C, Matelsky J, Wilt M, et al. (2021) CONFIRMS: A Toolkit for Scalable, Black Box Connectome Assessment and Investigation. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2021: 2444-2450 |
| Matelsky JK, Rodriguez LM, Xenes D, et al. (2021) An Integrated Toolkit for Extensible and Reproducible Neuroscience. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2021: 2413-2418 |
| Matelsky JK, Reilly EP, Johnson EC, et al. (2021) DotMotif: an open-source tool for connectome subgraph isomorphism search and graph queries. Scientific Reports. 11: 13045 |
| Matelsky JK, Downs J, Cowley HP, et al. (2020) A for modular, extensible data-visualization. Big Data Analytics. 5 |
| Vogelstein JT, Perlman E, Falk B, et al. (2018) A community-developed open-source computational ecosystem for big neuro data. Nature Methods |