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Published June 28, 2024 | Version releases/2.0

MalteHoel/local_subtraction_paper_code: Release 2.0

  • 1. Institute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany
  • 2. Faculty of Mathematics and Computer Science, University of Münster, Münster, Germany
  • 3. Institute of Medical Informatics, University of Münster, Münster, Germany
  • 4. Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Münster, Germany
  • 5. INSERM U1105, Research Group on Multimodal Analysis of Brain Function, Jules Verne University of Picardie, Amiens, France
  • 6. Pediatric functional exploration of the nervous system department, CHU Picardie, Amiens, France
  • 7. Institute of History and Ethics in Medicine, Technical University of Munich, Munich, Germany
  • 8. Computing Sciences Unit, Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland
  • 9. Institute of Electrical and Biomedical Engineering, Private University for Health Sciences, Medical Informatics and Technology, Hall in Tyrol, Austria

Description

EDIT: This version of the code was developed under Ubuntu 20.04. If you are interested in running the code on Ubuntu 24.04 or Ubuntu 22.04, we have created a new release (Release 3.0) that also offers installation instructions for these operating systems.

The second release of the scripts used in the numerical evaluation of the Local Subtraction Approach for EEG and MEG forward modeling. This approach is introduced and investigated in the accompanying paper (Published in SIAM Journal on Scientific Computing: https://epubs.siam.org/doi/full/10.1137/23M1582874).

In the second release, we added scripts for the evaluation of the local subtraction approach in realistic head models. Furthermore, we updated the parameters for the evaluation of the local subtraction approach in multilayer sphere models. Additionally, we renamed the approach from "Localized Subtraction" to "Local Subtraction".

This repository contains only the code to reproduce the results from the paper mentioned above. The data is available at https://doi.org/10.5281/zenodo.12575552. 

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MalteHoel/local_subtraction_paper_code-releases/2.0.zip

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