Joshua Tzvi Vogelstein

Affiliations: 
Johns Hopkins University, Baltimore, MD 
Area:
computational, circuit inference, fluorescence imaging
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"Joshua Vogelstein"
Cross-listing: Neurotree

Parents

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Daniel W. Moran research assistant Washington University (Neurotree)
Eric D. Young grad student 2009 Johns Hopkins (Neurotree)
 (OOPSI: A family of optimal optical spike inference algorithms for inferring neural connectivity from population calcium imaging.)
Carey E. Priebe post-doc (Robotree)

Children

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Sambit Panda grad student 2018-2024 Johns Hopkins (Neurotree)
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Publications

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Panda S, Shen C, Perry R, et al. (2024) Universally Consistent K-Sample Tests via Dependence Measures. Statistics & Probability Letters. 216
Pedigo BD, Winding M, Priebe CE, et al. (2023) Bisected graph matching improves automated pairing of bilaterally homologous neurons from connectomes. Network Neuroscience (Cambridge, Mass.). 7: 522-538
Pedigo BD, Powell M, Bridgeford EW, et al. (2023) Generative network modeling reveals quantitative definitions of bilateral symmetry exhibited by a whole insect brain connectome. Elife. 12
Winding M, Pedigo BD, Barnes CL, et al. (2023) The connectome of an insect brain. Science (New York, N.Y.). 379: eadd9330
Shen C, Panda S, Vogelstein JT. (2021) The Chi-Square Test of Distance Correlation. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 31: 254-262
Mehta K, Goldin RF, Marchette D, et al. (2021) Neuronal classification from network connectivity via adjacency spectral embedding. Network Neuroscience (Cambridge, Mass.). 5: 689-710
Arroyo J, Athreya A, Cape J, et al. (2021) Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace. Journal of Machine Learning Research : Jmlr. 22: 1-49
Bridgeford EW, Wang S, Wang Z, et al. (2021) Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics. Plos Computational Biology. 17: e1009279
Hong SJ, Xu T, Nikolaidis A, et al. (2020) Toward a Connectivity Gradient-based Framework for Reproducible Biomarker Discovery. Neuroimage. 117322
Wang N, Anderson RJ, Ashbrook DG, et al. (2020) Variability and Heritability of Mouse Brain Structure: Microscopic MRI Atlases and Connectomes for Diverse Strains. Neuroimage. 117274
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