Author

Edward H. Burnham

Worcester Polytechnic Institute

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:benchmarking· 2 Approach:statistical model· 2 Assay:electronic health records· 1 Approach:experimental assay· 1 Organism:human· 1 Organism:mouse· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Gregory M. NoetscheriD· 2 shared Aapo R. NummenmaaiD· 1 shared Alton Miles· 1 shared Aung Thu HtetiD· 1 shared Bethanny P. DanskiniD· 1 shared Bruce Robert RoseniD· 1 shared Connell Paxton· 1 shared Dexuan TangiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersNeuroscience

Gregory M. NoetscherORCID

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Author profile →

2 papers

Recent·Most cited

Direct Reconstruction of DC Cortical Conductivity from Large-Scale Electron Microscopy Data

Gregory M. Noetscher, Alton Miles, Bethanny P. Danskin, Dexuan Tang, Mark Ingersoll, Guillermo Nuñez Ponasso, Connell Paxton, R. Ludwig, Edward H. Burnham, Zhi‐De Deng, Hanbing Lu, Konstantin Weise, Thomas R. Knösche, Bruce Robert Rosen, Marom Bikson, Sergey N Makaroff

The paper develops a computational framework to directly reconstruct mesoscale cortical conductivity maps from electron microscopy data, revealing structural heterogeneity in mouse visual cortex.

bioRxiv · Mar 30, 2026 · PreprintNeuroscience

Software Toolkit for Fast High-Resolution TMS Modeling

Sergey N. Makarov, Gregory M. Noetscher, Edward H. Burnham, Dung Ngoc Pham, Aung Thu Htet, Lucia Isabel Navarro de Lara, Tommi Raij, Aapo R. Nummenmaa

The paper introduces a software toolkit for high-resolution TMS modeling that balances computational speed and spatial precision using BEM-FMM, compatible with human head models.

bioRxiv · May 20, 2019 · PreprintNeuroscience