Author

Nagaraju Dhanyasi

Harvard University

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· 3

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:mouse· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:Drosophila· 1 Assay:electronic health records· 1

Frequent Co-Authors

Jeff William LichtmaniD· 3 shared Donglai WeiiD· 2 shared Fuming YangiD· 2 shared Hanspeter PfisteriD· 2 shared Yaron MeirovitchiD· 2 shared Akhila ManthenaiD· 1 shared Alyssa Michelle WilsoniD· 1 shared Aravinthan D. T. SamueliD· 1 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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3 shared papersNeuroscience

Jeff William LichtmanORCID

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3 papers

Recent·Most cited

Developmental Connectomics of the Mouse Cerebellum

Nagaraju Dhanyasi, Yaron Meirovitch, Vikrant Kapoor, Alyssa Michelle Wilson, Shuohong Wang, Donglai Wei, Richard Lee Schalek, Rong Ma, Yuelong Wu, Akhila Manthena, Diégo Cordero Cervantes, Zudi Lin, Yunlei Liu, Sanjana Chimaladinne, Benjamin Morris, , Jeff William Lichtman

This study investigates synaptic connectivity development in the mouse cerebellum, revealing sequential input-dependent wiring and individualized parallel fiber inputs to Purkinje cells.

bioRxiv · Sep 15, 2025 · PreprintNeuroscience

Vimo: Visual Analysis of Neuronal Connectivity Motifs

Jakob Troidl, Simon Warchol, Jinhan Choi, Jordan Matelsky, Nagaraju Dhanyasi, Xueying Wang, Brock A. Wester, Donglai Wei, Jeff William Lichtman, Hanspeter Pfister, Johanna Beyer

Vimo enables interactive visualization of neuronal connectivity motifs in large brain networks, allowing experts to sketch and analyze motif instances and chains in 3D.

IEEE Transactions on Visualization and Computer Graphics · Oct 26, 2023Peer-reviewedNeuroscience

mEMbrain: an interactive deep learning MATLAB tool for connectomic segmentation on commodity desktops

Elisa Catherine Pavarino, Emma Yang, Nagaraju Dhanyasi, Mona D. Wang, Flavie Bidel, Xiaotang Lu, Fuming Yang, Core Francisco Park, Mukesh Bangalore Renuka, Brandon D. Drescher, Aravinthan D. T. Samuel, Binyamin Hochner, Paul S. Katz, Mei Zhen, Jeff William Lichtman, Yaron Meirovitch

mEMbrain provides an interactive MATLAB tool for connectomic segmentation, enabling user-friendly analysis of EM datasets with pre-trained networks and ground truth annotations.

Frontiers in Neural Circuits · Jun 15, 2023Peer-reviewedNeuroscience